Data Bytes: Recent Episodes
Women in Data
Your bite-sized dose of data stories, professional interviews, and latest trends in the world of data. Support this podcast: https://anchor.fm/women-in-data/support
Data Bytes listeners get an exclusive discount to join Women in Data. View discount here.
(00:00:00) - Creating a course with AI
(00:00:35) - Welcome Dr. Jon Krohn
(00:01:58) - AI's impact on teaching
(00:02:33) - Updating Jupyter notebooks
(00:03:10) - Using Claude 3 Opus
(00:04:13) - Free content availability
(00:06:35) - O'Reilly and free access
(00:07:37) - Early content creation
(00:10:01) - Impact on global readers
(00:12:14) - Interactive SQL course
(00:12:48) - Evaluating AI models
(00:13:53) - Comparing GPT-4, Gemini, Claude 3
(00:15:17) - Data privacy with LLMs
(00:21:24) - AI in team workflows
(00:27:07) - LLMs in data science
(00:29:49) - Automating data labeling
(00:32:28) - Creating synthetic data
(00:35:02) - Exciting AI advancements
(00:35:49) - Expanding audience reach
(00:38:20) - Positive future show concept
(00:40:17) - Optimistic view of the future
(00:43:26) - Popularity of the show
(00:46:01) - Closing thoughts and thanks
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(Intro 00:00:00) Importance of asking for help and admitting ignorance.
(00:00:31) Introduction to Colleen's journey into data analytics.
(00:01:23) Background in athletics and transition to data career.
(00:02:12) Current role in healthcare and previous athletic career.
(00:02:48) Transferable skills from athletics to data analytics.
(00:03:47) Work ethic, resilience, and team collaboration in data.
(00:06:20) Balancing work and personal life for sustainable career.
(00:07:33) Avoiding burnout by pacing yourself in your career.
(00:08:05) Importance of taking breaks to recharge and solve problems.
(00:12:18) Overcoming feeling behind when changing careers.
(00:13:09) Not pretending to know everything and asking questions.
(00:14:26) Bringing hard work mentality from athletics to data.
(00:16:28) Importance of mentorship and asking for advice.
(00:20:25) Discovering data analytics as a career option.
(00:21:18) Background in data collection and analysis in athletics.
(00:23:31) First job experiences in tech and real estate.
(00:25:47) Applying data skills to various industries and interests.
(00:27:38) Embracing challenges and continuous learning in data.
(00:28:57) Finding balance between new challenges and stable tasks.
(00:30:07) Advice for career changers entering data analytics.
(00:32:07) Learning on the job and continuous education.
(00:34:07) Current role and future aspirations in leadership.
(00:36:11) Being grateful for the opportunity to work in data.
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(Intro 00:00:00) Deep learning inspired by the human brain.
(00:00:29) Besa's leadership and analytics background.
(00:01:06) Excitement for Besa's interdisciplinary background.
(00:01:28) Besa's journey combining technology and human condition.
(00:03:49) AI's impact on healthcare discussed.
(00:05:41) Neuromorphic hardware and future technology.
(00:07:22) Modeling common sense and emotion in AI.
(00:08:26) Human uniqueness and AI creativity.
(00:10:41) AI in healthcare and elder care.
(00:14:08) Emotional AI and human attachments.
(00:15:24) AI in psychoanalysis and psychotherapy.
(00:17:14) Privacy risks with AI.
(00:19:35) AI's potential mental health pitfalls.
(00:22:00) Data protection laws for AI.
(00:23:12) Need for AI regulations.
(00:25:30) Educating regulators on AI.
(00:26:50) Importance of asking questions.
(00:30:10) Research interests in AI ethics.
(00:32:31) Advice: stay curious, ask questions.
(00:33:22) Encouragement to continue learning.
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(00:00:30 - 00:01:52) Welcome and Introduction
(00:01:52 - 00:04:07) Democratizing Data
(00:04:07 - 00:06:59) Balancing Architecture and Flexibility
(00:06:59 - 00:10:08) Internal vs. Consulting Support
(00:10:08 - 00:13:09) Measuring ROI in Data Projects
(00:13:09 - 00:16:26) Improving Business and Technical Team Collaboration
(00:16:26 - 00:20:20) In-Person vs. Virtual Collaboration
(00:20:20 - 00:22:21) Importance of Networking and Personal Growth
(00:22:21 - 00:27:31) Sandy's Career Turning Points
(00:27:31 - 00:29:33) Mentorship: Being a Great Mentor and Mentee
(00:29:33 - 00:32:38) Advancing Diversity and Equity in Tech Careers
(00:32:38 - 00:33:25) Closing Remarks
(00:33:25 - End) Outro and Membership Invitation
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(00:00:00) Importance of changing the way we teach math to be more inclusive.
(00:00:34) Introduction to the podcast guest, author and professor.
(00:00:58) Teaching at James Madison University; living in Alexandria, VA.
(00:01:28) Balancing in-person, hybrid, and online teaching formats.
(00:02:05) Overview of the book, "Essential Math for AI."
(00:02:27) Inspiration for writing the book; addressing the needs in AI education.
(00:04:11) Key concepts: types of intelligence, core mathematical foundations for AI.
(00:05:00) Starting points for learning math relevant to AI: calculus, linear algebra, probability.
(00:05:14) Connecting math learning to real-life applications for better understanding.
(00:06:12) Discussing the struggle with abstract math education and its real-world application.
(00:07:20) Changing how math is taught to retain more talented individuals.
(00:08:55) Addressing the fear of math and the impact on AI engagement.
(00:09:38) Overcoming math anxiety by setting clear goals and self-teaching.
(00:11:48) How AI advancements will change mathematics education.
(00:12:01) Benefits of AI in education, including automation and personalized learning.
(00:15:02) Historical perspective on the evolution of work and technology.
(00:15:29) Embracing fast technological advancements for societal benefits.
(00:17:20) Mathematics as a truth filter in the age of information.
(00:18:27) New book on prompting and data engineering.
(00:19:25) Exploring the intersection of AI models and data pipelines.
(00:21:09) The end-to-end story of AI from hardware to organizational strategy.
(00:21:45) The importance of understanding the bigger picture in AI.
(00:23:01) Journey into mathematics and AI, starting from Lebanon.
(00:25:44) Advice for young people navigating today's environment.
(00:26:08) Being true to oneself and seeking knowledgeable mentors.
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(Intro 00:00:00) Companies leaping into AI without solid data foundations.
(00:01:12) Importance of conferences for connecting and learning.
(00:01:26) Christina emphasizes energy and storytelling at tech conferences.
(00:02:17) LinkedIn connections making conference experiences better.
(00:02:33) Christina’s background at Google and Waze.
(00:03:13) Analytics ascendancy model explained.
(00:04:10) Common issue of companies jumping into AI prematurely.
(00:05:38) Importance of sequential steps in the analytics journey.
(00:06:23) Christina’s ACE framework (Advise, Create, Educate).
(00:07:06) Roles of advising, creating content, and educating.
(00:08:22) Handling C-suite pressure regarding AI hype.
(00:09:07) Evaluating current capabilities and setting expectations.
(00:10:27) Common pitfalls in the analytics journey.
(00:12:20) Challenges and risks in advanced analytics.
(00:13:57) Regulation and risk in finance and healthcare.
(00:14:59) Responsibility for assessing risk and regulation.
(00:15:19) Cross-functional nature of risk assessment.
(00:16:12) Advice on continuing the analytics journey.
(00:16:44) Maintaining a positive mindset and continuous learning.
(00:18:27) Future role of AI in analytics.
(00:19:41) AI’s potential and limitations in turbocharging analytics.
(00:21:49) Christina’s personal analytics journey.
(00:22:27) From studying statistics to founding Dare to Data.
(00:25:33) Advice for aspiring data professionals.
(00:25:37) Importance of curiosity, learning, and communication skills.
(00:27:14) Being a translator between business and technology.
(00:27:49) Christina’s SQL courses on LinkedIn Learning.
(00:28:35) Future courses and learning opportunities.
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(00:00:00) - Introduction by Sol Rashidi on data management challenges.(00:00:36) - Sadie welcomes Sol and discusses her background and accolades.(00:02:21) - Sol addresses the impact of AI hype on C-suite roles and data governance.(00:03:17) - Sol explains her approach to overcoming data challenges.(00:04:16) - Discussion on the evolving roles within the C-suite and the challenges of unclear division of labor.(00:05:59) - Sol on the responsibilities of a chief AI officer and the practical challenges in strategy and delivery.(00:07:05) - Sadie and Sol discuss the added complexity of new C-suite roles.(00:08:16) - Sol outlines an ideal CDO role and its necessary scope.(00:10:58) - Sol discusses professional relationships within the C-suite and strategies for negotiation.(00:14:28) - Sol promotes a course on transitioning from a practitioner to the C-suite.(00:15:12) - Discussion on the challenges and strategies for effective leadership in the C-suite.(00:18:23) - Sol on learning from failures and the importance of asking for what you want.(00:21:17) - Discussion on why few women hold leadership positions and how to negotiate effectively.(00:26:08) - Sadie discusses the role of tools like ChatGPT in professional communication.(00:30:06) - Sol shares her plans post-retirement and her new book release.
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- [00:00:00] Intro and discussion on information retrieval
- [00:00:36] Sadie welcomes Harpreet, discussing his achievements and connections
- [00:01:46] Early interactions and courses between Harpreet and Sadie
- [00:02:27] Updates on Sadie's SQL course and new roles
- [00:03:42] Harpreet discusses following curiosity in his career and AI's growth
- [00:06:55] Future of data science roles and specialization within the field
- [00:09:40] Unique skills of data scientists and transition to deep learning
- [00:15:23] Discussion on benchmarks, datasets, and introduction to retrieval augmented generation (RAG)
- [00:20:16] Explanation and potential applications of RAG models
- [00:24:09] AI applications in various industries and predictions for future AI integration
- [00:29:02] Harpreet's personal productivity gains from AI and new tools enhancing workflows
- [00:34:58] Harpreet's podcast impact on his career and future plans
- [00:40:44] Recommendations for staying updated in deep learning
- [00:45:36] Harpreet invites listeners to join his new research initiative
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Intro [00:00:00]
Priscila discusses the importance of an accessible data infrastructure and data literacy.
[00:00:41] Sadie:
Introduction of Priscila Papazisis, her achievements and roles.
[00:01:06] Sadie:
Discussion on AI and data literacy strategies for organizations.
[00:01:27] Priscila:
Priscila responds about strategies for fostering data literacy in organizations.
[00:02:03] Priscila:
Importance of executive support in building a data-driven culture.
[00:02:36] Priscila:
Training programs for data literacy across various companies.
[00:03:05] Priscila:
Reiteration of the need for accessible data infrastructure.
[00:03:42] Priscila:
Emphasizes employee engagement with data for decision-making.
[00:04:12] Priscila:
Continuous improvement and promoting an environment for feedback.
[00:04:36] Sadie:
Challenges in providing and encouraging training in organizations.
[00:05:07] Priscila:
Finding time and interest for employee training in a busy schedule.
[00:06:25] Priscila:
Importance of understanding statistical concepts, data visualization, and AI in business.
[00:07:39] Priscila:
Critical thinking and application of AI and machine learning in business.
[00:08:20] Priscila:
Understanding industry trends and market dynamics.
[00:08:50] Sadie:
Priscila shares examples of business value from data literacy programs.
[00:09:10] Priscila:
Story about enhancing logistics in a health insurance company.
[00:10:23] Priscila:
The impact of data literacy programs she initiated.
[00:11:16] Priscila:
Operational improvements from data-driven decisions.
[00:12:42] Priscila:
Importance of practical results from data products.
[00:13:19] Priscila:
Engaging in continuous learning and leveraging data literacy.
[00:14:10] Sadie:
Discussing common pitfalls in implementing data and AI programs.
[00:14:28] Priscila:
Key challenges and advice for data and AI program implementation.
[00:16:45] Sadie:
Advice for individuals improving their data and AI literacy.
[00:17:09] Priscila:
Recommended resources and personal approaches to data literacy.
[00:18:37] Priscila:
Emphasis on data storytelling and problem-solving with data.
[00:20:42] Sadie:
The role of storytelling in data and AI.
[00:21:11] Sadie:
Priscila's journey into the data field.
[00:22:10] Priscila:
Career path and evolution in data roles.
[00:23:16] Priscila:
Contributions to the data community and networking.
[00:25:36] Sadie:
The value of community in data and AI.
[00:26:27] Sadie:
Final advice for women in data and AI careers.
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[00:00:00] - Ania discusses her approach to energy use and following curiosity without questioning its practicality.
[00:00:34] - Introduction of Ania Cwojdzinska as a vibrant member of the Women in Data community, mentioning her background and achievements.
[00:01:24] - Sadie asks Ania about the intersection of data science and psychology and how Ania incorporates both in her work.
[00:03:02] - Ania shares her journey into data science during her PhD, highlighting the benefits of interdisciplinary approaches.
[00:04:52] - Discussion on the rigors of academic research and its relevance to data careers.
[00:05:47] - Ania talks about her surprise at the continued use of Excel in industry and the transition from academia to industry.
[00:08:05] - Sadie inquires if Ania has started using Excel in her industry work.
[00:08:27] - Exploring Ania's growth mindset and whether it was innate or developed over time.
[00:10:46] - Ania discusses leading the growth group for Women in Data and the various activities and workshops they conduct.
[00:13:35] - The unique aspects of the Women in Data growth group and its contribution to the community.
[00:14:42] - The inclusivity and openness of the Women in Data community.
[00:15:33] - Ania reflects on her advice for women in data careers, emphasizing self-awareness and the blend of personal interests with professional skills.
[00:20:16] - Sadie thanks Ania for her mentorship and contributions to the community.
[00:20:45] - Ania shares her most proud accomplishments: fostering lifelong friendships and achieving self-contentment.
[00:24:31] - Sadie and Ania discuss redefining success and the importance of being comfortable and happy with oneself.
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Discussion on AI in Business
- [00:01:00] Sadie introduces the main conversation topics.
- [00:01:20] Cal shares his anticipation for future meetups.
- [00:01:26] Discussion on the rapid developments in AI.
- [00:02:03] Key indicators companies overlook when identifying AI opportunities.
- [00:02:28] Cal elaborates on challenges and solutions in AI opportunity realization and measurement.
- [00:03:41] Approaches to mapping out the value of AI projects.
- [00:04:53] Sadie questions the average time to see benefits from AI implementation.
- [00:05:52] Cal discusses AI implementation timelines and the importance of build vs. buy decisions.
- [00:08:20] Discussion on successful integration of AI into workflows and overcoming adoption barriers.
- [00:09:23] The role of AI literacy in preventing unintended consequences.
- [00:13:08] Conversation shifts to responsible AI and baseline principles for ethical considerations.
- [00:14:16] Cal emphasizes the comprehensive nature of responsible AI beyond ethics.
- [00:20:33] Cal shares his journey to founding Panda Data and its acquisition.
- [00:24:52] Discussion on navigating the challenges in highly regulated industries.
- [00:27:41] Cal's personal motivations and overcoming obstacles.
- [00:32:09] What's next for Cal at Further and the vision for AI auditing practice.
- [00:36:14] Cal shares his personal goal of visiting 100 countries and its relevance to understanding AI and data science.
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Intro & Discussion on AI Career and Passion
00:00:00 - Introduction and advice on pursuing AI as a career.
00:00:17 - The importance of passion and intellectual rigor in AI.
Erica's Background & Journey into AI
00:00:32 - Introduction to Erica Luna Lee: her background in tech and founding Women of AI.
00:01:16 - Erica's entry into the AI space and her journey from research to tech leadership.
Moving to Silicon Valley & Building a Community
00:02:10 - Erica's move to Silicon Valley and the importance of community in career development.
00:03:09 - The unique ecosystem of Silicon Valley for technology and innovation.
Career Advancement & Challenges
00:04:12 - Insights on career advancement and the significance of choosing the right manager.
00:09:06 - Discussing the challenges for women in leadership roles and how to navigate them.
The Importance of Support Systems
00:12:47 - The critical role of support systems for female executives and founders.
00:16:51 - Erica shares advice for female founders and the importance of having a supportive network.
Personal Growth & Finding Balance
00:22:49 - Erica talks about personal growth, balancing work with personal life, and the importance of hobbies and social connections.
Outlook on AI and Future Technologies
00:34:14 - Erica's take on the current state of AI and speculation on future waves of technology innovation.
Closing Remarks
00:39:52 - Final thoughts and encouraging words from Erica.
00:40:03 - Outro and information on joining Women in Data.
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Dive into the world of Machine Learning Operations (MLOps) with the remarkably insightful Maria Vechtomova. She is an MLOps Tech Lead at Ahold Delhaize and Co-Founder of Marvelous MLOps. TimeStamps:
00:00:00 - Introduction to the episode with Maria Vechtomova.00:00:32 - Sadie introduces Maria Vechtomova and her career.00:01:06 - Maria expresses her appreciation for the DataBytes podcast.00:02:06 - Conversation about past experiences with piano lessons.00:03:12 - Maria's transition from economics to data and MLOps.00:04:31 - The impact of having inspiring colleagues.00:06:07 - Discussion on the value of freedom and management styles in Maria's career.00:07:14 - Maria talks about the founding of Marvelous MLOps.00:09:09 - The impact of publishing articles and LinkedIn engagement.00:10:39 - How the field of MLOps has evolved over the years.00:14:10 - The state of MLOps practices in the industry.00:16:27 - Advice for data scientists on best practices for MLOps collaboration.00:18:19 - Ideal handoff models between data engineering, data science, and MLOps teams.00:20:58 - Describing a typical week for an MLOps engineer.00:24:21 - How to balance leadership and technical knowledge.00:26:26 - Discussing the representation of women in MLOps and tech.00:29:51 - Conclusion and thanks to Maria and listeners.00:30:05 - Outro with an advertisement for Women in Data community memberships.
Join Women in Data as a Member: https://womenindata.mn.co/plans/389742?bundle_token=786e315f336334cfdfd416404db1fbf5&utm_source=manual
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As the Founder and Host of "The Ravit Show," @theravitshow Head Community Evangelist, and a Gartner Ambassador, Ravit has cultivated a unique perspective on the importance of community in the tech world. In this episode, we delve into why community is at the heart of everything Ravit does, exploring the passion that ignited his love for building connections and the invaluable lessons he's learned along the way. Ravit will also share his top tips for those looking to foster their own communities and brands. Additionally, we'll tap into Ravit's vast experience speaking with leading minds in Data & AI to uncover the latest trends and innovations shaping our future. Finally, Ravit opens up about his personal journey, revealing how his childhood has influenced his career path and philosophy. Don't miss this opportunity to gain insights from a true community builder and innovator in the field of data and AI.
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Scott Taylor, a principal consultant at MetaMeta Consulting, brings a wealth of experience and a unique perspective on the strategic importance of proper data management. Known for making data management concepts accessible and engaging, Scott has transformed the way businesses view their data, emphasizing the "strategic WHY" over the "technical HOW." In this episode, we'll explore how storytelling can bridge the gap between data and business strategy, the innovative use of data puppets to create fun and memorable content, and Scott's own journey in the data world. With accolades such as DataIQ 100 and CDO Magazine Leading Data Consultant, Scott's approach to data storytelling is not to be missed. Whether you're a data professional looking to inspire change within your organization or just curious about the power of data stories, this episode is packed with insights, tips, and tales from the forefront of data management.
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Amy Hodler is the Founder, Graph Evangelist, GraphGeeks
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Arynn is a solutions engineer, data advocate, and Industrial-Organizational Psychology practitioner. She has over 10 years of experience on both sides of data, as a practitioner across several industries and as a SaaS employee. Arynnbridges the gaps between people, processes, and data - a growing need as more companies adopt AI into their businesses. Reference Posts: https://www.shipyardapp.com/blog/why-does-data-orchestration-exist/
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Tune in for a rhythm-packed episode of Data Bytes Podcast, where we hit the high notes with Max Hilsdorf, a maestro in data science and a virtuoso in musicology, currently orchestrating success as a Data Science Consultant at Statworx. In this upbeat chat, Max conducts us through the electrifying world of AI in music, from remixing the creation process to auto-tuning the future of melodies. We'll riff on everything from AI's headline gigs in music genres to its backstage impact on composers and musicians. Max shares his own chart-topping journey of harmonizing data with do-re-mis, including encore-worthy projects and how he composes his work's score, balancing algorithms and arpeggios. As we crescendo into the future, Max forecasts the next big hits in AI music, ethical encores, and how AI might scout the next superstar from the garage band to the grand stage. So, plug in, turn up the volume, and let's jam to the future of music and AI with Max Hilsdorf—it's going to be a smash hit!
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We dive into the intricate world of data engineering with none other than Joe Reis, a celebrated figure in the tech education and data engineering arena. Joe, currently wearing multiple hats as an Instructor at DeepLearning.AI, CEO of Ternary Data, author with O'Reilly Media, and an adjunct professor at the University of Utah, brings a wealth of knowledge and experience to our table.
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In the latest episode of the Data Bytes Podcast, we had the pleasure of hosting Megan Lieu, a prominent figure in the data science community. Currently working at Deepnote and as an instructor at LinkedIn Learning, Megan brings a wealth of experience from her diverse roles in data science and analytics.
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Andy Cotgreave, Senior Data Evangelist at Tableau, sits down with us and talks about the future of dashboarding. We also chat about The Evolution of Tableau Dashboards and Data Communication and Storytelling in Tableau Dashboards. He has a wealth of experience and this episode is packed full of insights.
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Join us on the Data Bytes Podcast as we explore the dynamic world of tech ecosystems, innovation, and inclusive AI communities with Louis Stewart, Head of Strategic Initiatives, Developer Ecosystem at NVIDIA.
Discover the ingredients for successful tech ecosystems, the impact of government policies, and real-world examples of thriving tech hubs. Learn about fostering diversity and ethics in AI, and gain valuable advice from Louis Stewart's career journey.
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In this episode of the Data Bytes Podcast, we're joined by Yesenia Espinal, Associate Vice President for Data Analytics at Howard University. With her extensive background in data management and institutional research, Yesenia offers a unique perspective on the role of data analytics in higher education.
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We had the privilege of chatting with Stefanie Khan, the Director of Business Intelligence & Data Analytics at UPS, and a visiting professor at DeVry University. Here’s a quick rundown of what we covered:
A Journey Through Data Worlds.
Analytics Modernization at UPS.
Championing Women in Tech.
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In this insightful episode of Data Bytes, we sit down with Tracy Ring, a luminary in the intersection of AI and Life Sciences. Currently serving as the CDO and Global Generative AI lead in Life Sciences at Accenture, Tracy brings a wealth of experience from her previous roles at Deloitte, Capgemini, Walgreen's, Abbott Labs, and Kraft Foods. Her educational background from Harvard Business School and Miami University has laid a strong foundation for her exceptional career.
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In our latest episode of Data Bytes, we were honored to host Shinji Kim, a multifaceted leader in the technology industry and the Founder & CEO of Select Star. With a wealth of experience that spans multiple roles, from startup advising to product management, and academic backgrounds from renowned institutions like the University of Waterloo and Stanford University, Shinji is a wellspring of knowledge on data discovery and management.
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Are you curious about what distinguishes a Senior Data Analyst from a junior one? Or perhaps you're an aspiring SQL instructor looking for tips to deliver an effective learning experience? This episode is the treasure trove you've been waiting for!
We are thrilled to have Jess Ramos, a Senior Data Analyst at CrunchBase and a LinkedIn Learning Instructor, share her expertise and insights. With years of experience in the fast-paced corporate world, Jess reveals the nuances of a Senior Data Analyst's role and how they become linchpins in decision-making processes within their organizations. Learn how you can equip yourself with advanced skills and methodologies to maintain your relevance in this ever-evolving field.
But that's not all! Jess also delves into the art of teaching SQL effectively. From breaking down complex topics for beginners to staying current in a rapidly changing tech landscape, Jess provides a wealth of tips for educators aiming to foster a dynamic and comprehensive learning environment.
Don't miss this enlightening conversation that bridges the gap between data analysis and effective education in SQL. Tune in, get inspired, and level up your data game! 📊💡
About Jess:
Jess is a Senior Data Analyst at Crunchbase and an instructor with LinkedIn Learning. She has spent most of her career in the finance and tech industry working on SaaS products. Jess creates content on data, SQL, and tech careers on LinkedIn, Instagram, and TikTok and has a passion for sharing what she loves with her 110K+ followers. She wants to make data analytics accessible for all while also offering realistic expectations for what it's like in the field.
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Join us for an episode of Data Bytes Podcast where we explore digital transformation in manufacturing with Jai Sundararaman, Chief Transformation Officer at IPG. Discover key challenges and opportunities in manufacturing's digital journey, and gain expert insights on building resilient strategies for the future. Jai's extensive experience in technology and manufacturing makes this a must-listen episode. Subscribe now for more insightful content!
Connect with Jai on LinkedIn.
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Join us in this insightful episode of Data Bytes as we delve into the dynamic world of data, AI, and storytelling with our guest, Camila Manera. With a diverse background in design, user experience, data science, and AI, Camila has made strategic decisions for major organizations like The Walt Disney Company and is now the Co-Founder and Data Director at Libro de Pases. Discover how she's used data and AI to shape strategies, enhance storytelling, and find out what's on the horizon for the future of user experience. Don't miss this inspiring conversation with a trailblazer who's breaking barriers in the tech industry. Subscribe now and stay tuned for more engaging discussions on Women in Data's Data Bytes podcast!Connect with Camila on LinkedIn: https://www.linkedin.com/in/camila-manera-910510a2/ to stay updated on her incredible journey and insights.
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Join us in this insightful conversation with Lisa Cohen, an accomplished Data Science executive with a remarkable career spanning Google, Twitter, and Microsoft. We dive into the essential aspects of managing data science projects and the key objectives for onboarding to a data science team. Discover Lisa's journey into data science and her team's challenges at Google. Don't miss this opportunity to learn from a true industry expert!
Connect with Lisa Cohen on LinkedIn: https://www.linkedin.com/in/cohenlisa/
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Join us for "AI for Business Intelligence and Analytics" with our special guest, Mico Yuk! Mico, a trailblazer in the field, is the Chief Data Evangelist at Count.co and Co-founder of BI Brainz. In this podcast, we dive into three key areas:
AI and BI Fusion: Explore how AI is reshaping Business Intelligence and Analytics and whether it's time to update the BIDS framework.
DE&I Action Plan: Understand the challenges and solutions for achieving diversity and inclusion in organizations, with practical steps and metrics for progress.
Mico's Journey: Hear the fascinating story of how Mico founded the BI/Analytics Data Storytelling Framework (BIDS) and gain insights into her career and advice for women in data.
This podcast promises engaging discussions, expert insights, and a dose of inspiration from Mico Yuk.
Stay connected with Mico on LinkedIn: https://www.linkedin.com/in/micoyuk/
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In this exclusive interview, we sit down with a true industry luminary, an individual who has charted a remarkable course through the dynamic world of data and machine learning engineering. Our guest, a distinguished Founder at Dutch Engineer, Senior Data and ML Platform Engineer at Zwift, and a dedicated Mentor at EcZachly, is set to unravel the mysteries of vector databases, illuminate the path to becoming a top-tier data engineer, and offer invaluable insights into transitioning from data engineering to the exciting realm of ML engineering. Join us as we delve into their extraordinary journey and tap into their wealth of experience and wisdom.
Connect with Sarah on LinkedIn: Sarah Floris on LinkedIn
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Join us for an insightful episode of Data Bytes as we explore "The Future of Data Science" with Dr. Jodie Burchell, Developer Advocate in Data Science at JetBrains and former Lead Data Scientist at Verve Group Europe. With a diverse background in clinical psychology, biostatistics, and extensive data science experience, Dr. Burchell provides valuable insights.We delve into two key topics:Data Science Evolution: Discover how the role of data science has transformed over the last decade and what lies ahead with AI advancements.Bias-Free Hiring: Learn how to address bias in hiring practices from Dr. Burchell's perspective as a hiring manager and create a more inclusive recruitment process.Additionally, Dr. Burchell shares her unconventional career journey and offers advice for aspiring data scientists. In a rapid-fire round, we get to know her personal interests and goals.Tune in for a candid, unscripted conversation. Connect with Dr. Burchell on LinkedIn and Twitter, and stay updated on Data Bytes for more captivating discussions. Stay curious and creative!Connect with Dr. Jodie Burchell:Twitter: https://twitter.com/t_redactylMastodon: @t_redactyl@fosstodon.orgBlog: https://t-redactyl.io/GitHub: https://github.com/t-redactylJetBrains: https://www.jetbrains.com/
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Today, we delve deep into the art and science of constructing formidable teams in the realm of analytics and AI with a trailblazer in the industry, Sayandeb Banerjee. As the CEO and Co-founder of The Math Company and Co.dx, and with a rich tapestry of experiences across giants like MU Sigma, GE-Money Americas, GECIS, and ICICI Bank, Sayandeb offers a unique vantage point.
Highlights:
Building High-Caliber Teams: Ever wondered what goes into creating elite teams in the analytics industry? Sayandeb breaks down the ingredients. From attracting top talent to innovative training paradigms, gain insights into the practices that make TheMathCompany stand out.
Innovation in the Industry: As technology gallops ahead, how will analytics keep pace? Sayandeb shares his forward-thinking perspective on the evolution we might witness in the next decade.
Personal Insights: From the driving forces behind his unwavering passion to valuable advice for budding analytics enthusiasts, Sayandeb offers a candid look into his journey. Plus, any regrets or do-overs? He shares those too.
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Overview
In this episode of the Data Bytes podcast, we will be joined by Gaston Besanson, the Global Head of Data Science at PepsiCo. Gaston has been building new practices, businesses, and high-performing teams in data science for more than 18 years and driving business evolution through data processing, data analytics, and decision support. In this interview, we will explore the topic of digital transformation and its key barriers. We will also discuss the role of the global data science team in PepsiCo, what defines an ideal PepsiCo data scientist, and the types of problems that Gaston's teams work on today. Additionally, we will touch upon the importance of diversity at the time of building analytics solutions. Tune in to learn more about how AI is driving digital transformation at PepsiCo.
About Gaston Besanson
Gaston Besanson has been building new practices, businesses and high-performing teams in data science for more than 18 years and driving business evolution through data processing, data analytics and decision support. After more than a decade leading teams in various private and academic institutions, since early 2021 Gaston joins PepsiCo as Global Head of Data Science to build a global big data science team working across the company's different functions of interest. Since November 2021, he leads PepsiCo's Global Digital Hub in Barcelona.
The focus of Gaston's work is the continuous development of AI-based analytics components as part of PepsiCo's digital products and services, along with innovation in the field of intelligent systems applied to business processes. This is coupled with his strong values of fostering a respectful and dynamic culture based on empowerment, communication and collaboration.
Social Media
LinkedIn: https://www.linkedin.com/in/besanson
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Overview
In this episode, Dr. David Moses discusses his research in speech neuroprosthetics. He delves into his research paper on Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria, highlighting the challenges faced during the study and the deep learning models utilized. Dr. Moses also discusses the potential for further improvements with additional data and whether similar studies have been conducted without the use of implants. The conversation then shifts to the ethics of brain-computer interfaces (BCI), with Dr. Moses sharing his thoughts on concerns surrounding BCIs, ways to encourage more individuals to participate in ethics conversations, and a potential timeline for BCIs entering the market. Finally, Dr. Moses discusses industry opportunities outside of academia and offers advice on how to get started in the field.
About Dr. David Moses Dr. David Moses received a BS in Bioengineering from Rice University and then a PhD in Bioengineering from a joint program between UCSF and UC Berkeley. During his PhD in Dr. Edward Chang's lab at UCSF, he studied how perceived and produced speech is encoded in the human cortex using electrocorticography (an invasive brain-recording methodology involving electrical sensors placed directly on the brain surface), and he developed a system to decode both kinds of speech from the cortical activity of volunteer participants. After graduating, he remained in Dr. Chang's lab as a postdoctoral scholar to manage and coordinate projects on a new early-feasibility clinical trial at UCSF to evaluate the potential of electrocorticography and machine learning to restore speech to patients with severe paralysis. After successful proof-of-concept demonstrations, he continues to work towards the development of a clinical implementation to enhance the communicative capabilities of those who are unable to speak.
Social Media
Twitter: @AtDavidMoses
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Overview
In this episode, we dive into the topic of collective intelligence and its optimization with Anita Woolley, Professor at Carnegie Mellon University’s Tepper School of Business. We get to know Anita's story and the valuable lessons she has learned in her career.
Our first topic is competition and collective intelligence in groups. We explore the definition of collective intelligence and the signs of a high-functioning team. We also discuss whether gender differences play a role in enabling collective intelligence in teams.
Moving on to the second topic, we delve into the effect of gender composition on the use of expertise. Anita shares her research on this topic and whether the results surprised her. We also explore the actions that leaders and teams can take to ensure that women are more likely to participate, even if they are in the minority group.
Overall, this episode provides valuable insights and actionable strategies for optimizing collective intelligence and creating more inclusive teams.
About Anita Williams Woolley
Anita Williams Woolley is a Professor of Organizational Behavior and the Associate Dean of Research at Carnegie Mellon University’s Tepper School of Business. Dr. Woolley received her doctorate in organizational behavior from Harvard University, and her research includes seminal work on collective intelligence, which was first published in Science in 2010 and has been featured in over 5000 publications and media outlets since. Her papers have been published in Science, Proceedings of the National Academy of Sciences, Academy of Management Review, Organization Science, and Management Science among others and her research has been funded by grants from several federal funding agencies including the National Science Foundation, the Army Research Institute, and DARPA, as well as private corporations. Currently, Professor Woolley is a Senior Editor at Organization Science and a founding Associate Editor of Collective Intelligence. At the Tepper School, she teaches courses on managing teams and leading global and distributed teams.
Learn more about our mission and become a member here: https://www.womenindata.org/
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Overview
In this podcast episode, Yakaira Núñez (Kai), Vice President of Research & Insights at Salesforce, joins as a guest to share her story and insights on leading teams to deliver actionable insights. Kai is an experienced leader in data and analytics, with a passion for driving innovation and positive change.
Kai shares her background and how she got into the field of data and analytics. She then dives into the first topic, actionable insights. Kai defines what actionable insights are and how a multifaceted team plays a crucial role in driving them. She also shares her experiences building and deploying a data fluency agenda across the organization and the valuable lessons she learned from it.
Also, she talks about her work with the Trillion Trees Tree Tracking Platform and Generations AI with the World Economic Forum, where responsible AI is a key focus. She discusses her leadership style and what it means to lead with empathy, responsibility, and impact. Kai provides real-life examples of how she implements these principles in her leadership style and the positive outcomes it has produced.
Overall, this episode provides insightful and practical advice on leading teams to deliver actionable insights, using responsible AI, and leading with empathy and impact.
About YAKAIRA 'Kai' NÚÑEZ
Yakaira is a product & research leader dedicated to crafting technology that enables the human/life/work experience - seamlessly. She is an experienced strategist, systems thinker, and implementer who has employed her passion to deliver high impact products and build responsible tech & data fluency throughout organizations.
As a product leader, she is renowned for agile and proactive delivery, operational excellence, digital transformation, and laser focus on value to the customer + the bottom line. As Head of Research & Insights for the Salesforce Platform she has focused her talents on directing & activating data from analytics to insights from C-Suite to Sales Enablement in service of FY23 goals for: AI & Data, Developer & Administrative Experiences, Platform Products & Cloud Strategy. As a leader in Responsible Tech, she has led tech innovation and product development for strategic initiatives such as the Land & Oceans Sustainability Goals, Trillion Trees Tree Tracking Platform, and Generations AI with the World Economic Forum.
Across industries and services, from multinational organizations to educational institutions, to start ups, and not for profits - Yakaira has shaped and delivered high value services and products. Yakaira speaks publicly on Diversity and Inclusion in AI and Tech, and Green Tech.
Social Handles:
LinkedIn: https://www.linkedin.com/in/yakairanunez/
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Overview
We dive into the topic of informed decision-making. Our guest today is Ishita Majumdar from eBay, who will be sharing her insights on the top three areas that lead to informed decision-making.
According to Ishita , the top three areas that lead to informed decision-making are experimentation, customer 360, and internal business analysis. Experimentation involves testing hypotheses and gathering data to inform decisions. Customer 360 involves a complete understanding of the customer, including their needs, preferences, and behaviors. Internal business analysis involves analyzing internal data to identify opportunities for improvement.
She then provides an example of how she does experimentation at eBay. Moving on to optimizing the customer 360 experience, Ishita suggests that it is important to collect as much data as possible about the customer, including demographic information, purchase history, and feedback. She suggests using this data to create personalized experiences for customers and to anticipate their needs. Finally, Ishita discusses how to effectively influence the business to make data-driven decisions internally.
About Ishita Majumdar
As a Product and Technology leader, I lead with influence and inspiration to create impact. I drive transformations at technology, product and organization level. In my 20+ years of technology experience, I am valued for customer empathy, product development, cross-functional collaboration, and global organization management. As a champion for diversity, equity and inclusion, I actively invest in mentoring and sponsoring girls in tech, and women in tech. I am an avid speaker and champion on technology, diversity and the intersection of the two.
Social Handles:
LinkedIn: https://www.linkedin.com/in/ishitamajumdar/
Learn more about our mission and become a member here: https://www.womenindata.org/
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Overview
This Data Bytes podcast episode features Beth A Walter, an Assistant Teaching Professor of Business Communication at Carnegie Mellon University Tepper School of Business, where she discussed two interesting topics. The first topic focused on the common pitfalls individuals make when communicating analytic insights in the field of data analytics.
The second topic discussed on the podcast was executive presence, and how performing arts can improve it. Walter explained that executive presence refers to the ability to project confidence, competence, and credibility in high-stakes situations. She shared tips on how to improve executive presence, such as maintaining eye contact and body posture, and the importance of developing a strong voice. Walter also discussed how learning the performing arts can help improve executive presence, as it involves building self-awareness, practicing presence, and honing communication skills. Overall, Walter's insights were valuable for anyone looking to improve their communication skills, whether in the realm of data analytics or executive presence.
About Beth Walter
Beth Walter is Assistant Teaching Professor of Business Communication at Tepper School of Business, Carnegie Mellon University (CMU). She teaches undergraduate and graduate-level courses in business communication, presentation skills, professional writing, executive presence, storytelling, improv for leaders, and strategic leadership. Additionally, Beth serves as faculty director for communication programs at Tepper Executive Education and regularly consults with global companies to help them improve their internal and external communications. Formerly, Beth was an assistant professor of communication at the University of Dayton and at CMU-Heinz College for Public Policy and Information Systems. Her most recent research focuses on pedagogical methods for making the contexts and conventions of business writing and their differences more explicit and accessible for business students. Beth also researches effective strategies for corporate communication about social responsibility initiatives. Beth received two top-paper awards from the National Communication Association for her research in rhetorical theory and semiotics. Her work has been published in the Atlantic Journal of Communication, and she is a recipient of Duquesne University’s Award for Outstanding Scholarship in Communication and Rhetorical Studies. From 1996-2010, Beth served as President and CEO of Spotlight Performing Arts, Inc. in Pittsburgh where she directed over three dozen theatrical productions. Drawing on her former experience as an actress, stage director, and entrepreneur, Beth helps professionals at all stages of their career apply classic performance principles to communicate with impact and collaborate in teams.
Social Handles:
LinkedIn: https://www.linkedin.com/in/beth-a-walter-37108235/
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Overview
In this podcast, we will explore the world of data management with Barkha Saxena who is the Chief Data Officer at Poshmark. She shares two distinct topics - data products and datamesh. In the first part of the podcast, we will discuss data products, including how they are defined, the types of data products built at Poshmark, and whether one needs data product owners to build data products. We will also explore how organizations can develop a data product mindset.
In the second part of the podcast, we will delve into datamesh, including the differences between data fabric and datamesh, and advice for Chief Data Officers (CDOs) looking to transition to a datamesh. We will also discuss what skills would be valuable for someone starting their career in data management today.
Join us as we explore these two important topics in the world of data management and help you navigate the ever-evolving landscape of data.
About Barkha Saxena
Business and Product leader with broad and deep data and AI expertise. Experience in taking an idea to all the way to building a business unit through the stages of innovation, strategy, product development, business development and sales. Experience working with large scale data science and ML implementations for Social Ecommerce, Advertising, Financial Services, Retail, and Telecom industries
• Seasoned executive with experience in building teams from ground up and driving business initiatives.
• 20 years of experience in analytics, data science and machine learning. Business function expertise: product, marketing and operations
• Data: Deep expertise in consumer digital behavior data and traditional marketing, acquisition, product interaction, risk and customer management data
Social Handles
LinkedIn: https://www.linkedin.com/in/barkhasaxena/
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Overview
Barr Moses, Co-Founder and CEO of Monte Carlo, joins on the podcast. Prior to founding Monte Carlo, Barr was the VP of customer success operations at Gainsight and holds a bachelors of science in mathematics and computer science from Stanford.
In today’s episode Barr shares her inspiration for founding Monte Carlo, the cost and harms of poor quality data, the five principles of data observability, and her top predictions for data trends in 2023.
About Barr Moses
Barr Moses is CEO & Co-Founder of Monte Carlo, a data reliability company and creator of the data observability category, backed by Accel, GGV, Redpoint, ICONIQ Growth, Salesforce Ventures, IVP, and other top Silicon Valley investors. Previously, she was VP Customer Operations at customer success company Gainsight, where she helped scale the company 10x in revenue and, among other functions, built the data/analytics team. Prior to that, she was a management consultant at Bain & Company and a research assistant at the Statistics Department at Stanford University. She also served in the Israeli Air Force as a commander of an intelligence data analyst unit. Barr graduated from Stanford with a B.Sc. in Mathematical and Computational Science.
Social Handles
Barr's Twitter
Monte Carlo's Twitter
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Overview
Gabriela de Queiroz joins us this week on the podcast. Learn what skills are needed in a technical role as an individual contributor and how these skills change as you move to a management or leadership role. Transitioning to a leadership role can be difficult but Gabriela shares how you can best prepare to move into the role and excel! Here's a hint, a community is essential!
About Gabriela de Queiroz
With over a decade of experience in the data space, Gabriela has worked in research and in several startups from different industries, including Software, Financial, Advertisement, and Health. Throughout her career, she has built diverse teams, created sophisticated data science solutions, engaged with customers and stakeholders to deliver business insights and drive data-centric decisions. She is passionate about building innovative solutions, understanding business gaps, and customer needs, and delivering a flawless experience.
Currently, Gabriela de Queiroz is a Principal Cloud Advocate Manager at Microsoft. She leads and manages the Global AI/ML/Data team in Education Advocacy.
Before that, she worked at IBM as a Program Director on Open Source, Data & AI Technologies and then as Chief Data Scientist at IBM, leading AI Strategy and Innovations.
She is actively involved with several organizations to foster an inclusive community. In 2012 she founded R-Ladies, a worldwide organization for promoting diversity in the R community, present in more than 200 cities in 55+ countries. In 2019, she founded AI Inclusive, a global organization that is helping increase the representation and participation of minorities in Artificial Intelligence.
Social Handles
k-roz.com
twitter
linkedIn
mastodon
AI Inclusive
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Overview
Elona Tuomi and Maithili Dandige are two senior leaders in technology, certified life coaches, and life coaches for women in data. If you are looking to overcome perfectionism, imposter syndrome, and get unstuck in your career, then this episode is for you. We cover everything from what is life coaching career transitioning, and how perfectionism lead to imposter syndrome.
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Overview
Wendy Turner-Williams joins us to share her inspiring story. She used her layoff as a pivoting point to start a community to bring people together. She shares insights with the tech layoffs happening in this current time. Wendy also chats about the similarities of being a CDO and creating a community.
About Wendy Turner-Williams
In her role as Chief Data Officer, Wendy manages Enterprise Data Strategy, Data Platforms & Services, Data Governance & Management Maturity, Data Risk, and Data Literacy. Wendy and her team are charged with helping fuel data-driven business innovation, transformation, and operational excellence across all areas of Tableau’s business.
She joined Tableau after several years with parent company Salesforce, leading the Information Management & Enterprise Data Strategy. She also worked at Microsoft in both Bing/Ads and Azure driving data strategy and data platform as a service. Wendy has over 20 years of data, strategy, business applications, process automation and management experience - spanning multiple business segments. Wendy graduated from Oklahoma State University with a B.A. in European History.
Social Handles
LinkedIn - https://www.linkedin.com/in/wendy-turner-williams-8b66039/
Join The 10% Community - http://salesforcelayoffs.slack.com/
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Overview
We are speaking with the powerhouse, Dr Brandeis Marshall. She is the Founder and CEO of DataedX Group, author of the book Data Conscience: Algorithmic Siege on our Humanity, and founder of Black Women in Data.
In this episode we talk about her journey and tips for writing a book. We also explore the doom of AI and what can be done about it.
About Dr. Brandeis Marshall
Brandeis Hill Marshall teaches, speaks and writes about the impact of data practices on technology and society. This computer scientist is an accomplished educator-scholar instructing aspiring data professionals to seasoned business leaders and leading federally funded projects. Dr. Marshall is the Founder and CEO of DataedX Group, LLC. DataedX Group provides learning and development training to help educators, scholars and practitioners humanize their data practices by recognizing and mitigating algorithmic harms. Her first book, Data Conscience: Algorithmic Siege on our Humanity, was released in September 2022. It unearths the interlocking computational and civic implications of data on digital processes, structures and institutions. She holds a Ph.D. and Master of Science in Computer Science from Rensselaer Polytechnic Institute and a Bachelor of Science in Computer Science from the University of Rochester.
Social Handles
Twitter | Personal - https://twitter.com/csdoctorsister
Twitter | Black Women in Data - https://twitter.com/BlkWomenInData
Twitter | DataedX - https://twitter.com/DataedX_
LinkedIn | Personal - https://www.linkedin.com/in/brandeis-marshall/
LinkedIn | DataedX - https://www.linkedin.com/company/dataedx/
Website | DataedX - https://www.dataedx.com
Website | Personal - https://www.brandeismarshall.com
Website | Black Woman in Data - https://www.brandeismarshall.com
Buy "Data Conscience: Algorithmic Siege on our Humanity" | https://www.brandeismarshall.com/book
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Overview
Rehgan Avon, Co-Founder & CEO AlignAI where she is changing the way companies retain, update, and consume their institutional knowledge around building and using data & AI.
She shares her founder's journey, the struggles and solutions that exist sharing institutional knowledge for AI and how to overcome barriers as a woman in tech.
About Rehgan Avon
Rehgan Avon is the co-founder & CEO of AlignAI, an AI Adoption Platform that is changing the way companies capture, share, and improve institutional knowledge around AI and data across their organization. With a background in integrated systems engineering and a strong focus on building technology to support analytics and ML, Rehgan has worked on architecting solutions and products around operationalizing machine learning models at scale within the large enterprise. Rehgan’s previous experience has been fueled by a passion for early-stage startups and product development. She has also taught courses in python, data science, and web development at MBA programs nationally.
Rehgan has built an extensive community of experts through Women in Analytics, a company she founded in 2016 to promote more visibility to diverse individuals making an impact in this space. She hosts a global conference every year that has put over 200 women on the stage. The community has over 5000 members from around the world that participate in tutorials, learning groups, discussion boards, and mentorship programs. She is also the recipient of Columbus CEO’s Future 50 award.
Social Handles
https://twitter.com/RehganAvon
https://twitter.com/wia_community
https://twitter.com/getalignai
https://www.linkedin.com/in/rehganavon/
https://www.linkedin.com/company/women-in-analytics-community
https://www.linkedin.com/company/alignai
https://www.instagram.com/wia_community/
https://www.facebook.com/womeninanalyticscommunity
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Overview
Our guest, Rob Collie is the Founder and CEO of P3 Adaptive. Prior to his work at P3 Rob was a Sr Program Manager for Microsoft and worked on products such as Excel, PowerPivot and more. In this episode, we discuss the love/hate relationship with excel, how to find the data gene in individuals at your organization and how to be a super PowerBI user. In addition, Rob shares how he is continually learning and updating policies to create a more inclusive working environment at P3.
About Rob Collie
Rob Collie is Founder and CEO of P3 Adaptive, a national consultancy that’s redefining what you should expect from data services firms. A former engineering leader at Microsoft, Rob led the business intelligence investments n Microsoft Excel, and later helped shape the early versions of Power BI. That unique set of experiences led him to create a new kind of consulting firm – one that delivers more impact than traditional firms, does so in a fraction of the time, and is accessible to everyone.
Social Media
Website: https://p3adaptive.com/
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Overview
Today’s guest is Dipti Borkar, Vice President and General Manager, SaaS, Azure Databases at Microsoft. Prior to joining Microsoft, Dipti was the Founder and Creator of Ahana, a cloud managed service. Dipit has vast experience working in startups such as Counchbase, and Marklogic, and began her career working as a software engineer for IBM.
In today’s episode, Dipti shares how Databases have evolved over the past 15 years, her predictions for the future of technology and provides actionable advice for those looking to start a career in technology.
About Dipti Borkar
Dipti is a senior technology executive and entrepreneur with over 18 years of experience in cloud, open source and distributed data / database tech including relational, NoSQL, and federated systems.
Dipti is the Vice President & General Manager at Azure Data, Microsoft where she leads product and engineering teams to make cloud databases simple and smart. She founded Ahana and created a cloud managed service for SQL on data lakes where she played many roles including Chief Product Officer and VP of Cloud / Open source engineering. Prior to Ahana, she held various different executive roles at Alluxio, Couchbase and IBM. At Couchbase she held several leadership positions over the years leading and building out the product, engineering and world-wide solutions engineering teams. At IBM, Dipti managed large world-wide dev teams for DB2 Distributed where she also started her career as a software engineer in the DB2 LUW kernel. She also served as Chairperson of the Linux Foundation / Presto Foundation community for many years. Dipti holds a MS in Computer Science from UC San Diego with a specialization in databases and holds an MBA from the Haas School of Business at UC Berkeley. She is very passionate about empowering and mentoring women in tech and open source.
Learn more about our mission and become a member here: https://www.womenindata.org/
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Overview
In today’s episode, Adita shares here journey transitioning from Government to Industry, the Operating Model for Internal CDO Role, the need for Data Literacy, and why Female Representation in Government is essential and how she is making a impact in this space.
About Adita Karkera
With more than 20 years' of industry experience, Karkera serves as the Chief Data Officer for Deloitte Consulting LLP’s Government and Public Services where she leads the data strategy to foster value creation from the organizations’ data while facilitating trust. Karkera also serves as a thought leader and Fellow in the Deloitte AI Institute for Government where she strategically advises government clients on maximizing business value in the areas of data management, strategy, advanced analytics, and AI.
Prior to joining Deloitte, Karkera spent nearly 20 years with the State of Arkansas. She began her career as a database administrator and was appointed the Deputy Chief Data Officer (CDO) in 2017. In her role as Deputy CDO, she led the State through many data firsts. Her emphasis on fostering a data driven culture, advancing data sharing, and spearheading initiatives to improve the effectiveness of government programs and decision-making positioned her as a principal specialist and passionate leader in data management. She was instrumental in researching and implementing statewide data policies across a multitude of policy areas. She was also appointed to the governor's COVID-19 Technical Advisory Board to recommend technology solutions for combatting the pandemic in Arkansas.
As an advisor and thought leader, Karkera is dedicated to improving public service. She has served on many industry boards and data management industry forums. She is a pioneer in articulating the importance of data literacy especially in accelerating advanced analytics and trustworthy AI adoption in government. Karkera also devotes herself to empowering women in data and AI through formal and informal mentorship programs. She has been nationally recognized by GovTech Awards, StateScoop 50 Awards, Women in IT Awards, and Women Leaders in Data & AI for her exemplary contributions to the industry. You can find her actively engaged with the CDO/data community as a speaker and on LinkedIn & Twitter.
Social Handles
LinkedIn: https://www.linkedin.com/in/aditakarkera/
Twitter: https://twitter.com/AKark_DataGirl
Learn more about our mission and become a member here: https://www.womenindata.org/
All Data Bytes listeners get 20% off of WiD membership by using the code: DATABYTES20
Support this podcast: https://anchor.fm/women-in-data/support
Overview
In today’s episode Kate shares her career journey, and talks about how Web3 will unlock value for consumers and brands and provides examples of this through her team’s work at Pepsico. Kate has been a leader in digital innovation for many years.
About Kate Brady
Kate is a seasoned marketing veteran with over 20-years media and marketing experience, 12+ of those years within PepsiCo. Kate now leads Next Gen D2C Consumer Experience and Direct Digital Marketing Capabilities, a newly formed team within PepsiCo’s global Strategy and Transformation organization driving growth for PepsiCo through the lens of consumer data and experiences.
Kate’s team is responsible for creating value and enabling consumer centricity through current and next generation platforms by delivering meaningful consumer experiences through direct consumer engagement and activation across a connected direct-to-consumer network. A key part of this work is driven through the establishment of PepsiCo’s Web3 & Metaverse Center of Enablement, leading the coordination and global strategy development across all PepsiCo sectors.
Prior to this role Kate has worked across PepsiCo’s global portfolio of brands driving media strategy, investment, innovation and partnership development.
Kate lives in Mahopac, NY with her husband Ryan and 2 daughters Ava (15) and Liv (13).
Social Handles
LinkedIn: http://www.linkedin.com/in/katebrady1007
Twitter: @katebrady1007
Learn more about our mission and become a member here: https://www.womenindata.org/
All Data Bytes listeners get 20% off of WiD membership by using the code: DATABYTES20
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Overview
Today we are chatting with Lauren Hinds. Lauren is the President of What.If.Why, a coaching and analytics company focused on tackling persistent problems. With over 15 years’ experience leading teams and applying big data toward business operations, financial growth, and product development, she is an expert at inquiry, connecting dots, and seeing trends.
Today we chat about common mistakes analysts make in the analysis and how to avoid them through understanding the nuts and bolts of how the business operates, building relationships and getting curious to ask the right questions.
Lauren has an amazing ability to make complex problems simple and listening to the episode will help you take your analysis to the next level.
About Lauren Hinds
Lauren Hinds is the President of What.If.Why, a coaching and analytics company focused on tackling persistent problems. With over 15 years’ experience leading teams and applying big data toward business operations, financial growth, and product development, she is an expert at inquiry, connecting dots, and seeing trends. Lauren has an MBA, is a certified coach (ACC) and inspires learning through the WEH Foundation. As a mother, wife, boss, employee, friend, business owner, and daughter, she knows that big and small goals alike can seem daunting but that they are always within reach – you may just have to get creative.
Social Handles
LinkedIn: https://www.linkedin.com/in/alaurenhinds
Website: http://www.whatifwhy.com/
Learn more about our mission and become a member here: https://www.womenindata.org/
All Data Bytes listeners get 20% off of WiD membership by using the code: DATABYTES20
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Today we have the pleasure of speaking with Christelle Mombo Zigah, Responsibility AI Committee Member and Sr Global Customer Success Manager for Cisco. With 15 years, she worked in multiple industries and wore multiple hats before discovering her superpower in helping global technology companies in their growth, transformation, and innovation strategies.
Christelle believes it is “an imperative to make AI accessible to everyone and to implement policies and regulations in the public and private spaces to prevent the effects of discriminating historical data and harmful algorithms at scale”.
In today’s episode Christelle shares her story of how she found her voice as an immigrant woman of color in the tech industry and how we all have a role to play in creating responsible AI. Christelle is a power house and is paving the way for more voices to be heard in AI and is truly an inspiration to all of us.
About Christelle Mombo-Zigah
Christelle Mombo-Zigah was born and raised in France, to Congolese parents. She currently lives in Silicon Valley. She is a wife and a mother of two intelligent, funny, and opinionated magical little black girls aged 5.5 and 3. She has a master’s degree in International Economics from La Sorbonne University and recently graduated from Stanford GSB with an executive MBA, where she enjoyed the opportunity to grow her learnings and network with accomplished professionals from all over the world. Christelle Mombo-Zigah is a futurist, an ambidextrous leader, and a problem-solver, who believes in the power of technology to make the world a better place for everyone. As a professional for 15 years, she worked in multiple industries and wore multiple hats before discovering her superpower in helping global technology companies in their growth, transformation, and innovation strategies. Her people- first mindset, commitment to human-centered experiences, and sustainability redirected her focus toward responsible AI and women in technology advocacy. She believes it is “an imperative to make AI accessible to everyone and to implement policies and regulations in the public and private spaces to prevent the pernicious effects of discriminating historical data and harmful algorithms at scale”. Passionate about history and linguistics she speaks French, English, and Spanish fluently and is learning Portuguese. She sees languages as a unifier and a connector to the world. She also appreciates her Kongo heritage and history through its lineage in the Americas and the Caribbean. Christelle recently published her first children’s book and is working on three more before tackling her memoir. She wants to build a legacy for her daughters and share her story to inspire the next generations of leaders and give a voice to the voiceless.
Social Handles
LinkedIn: https://www.linkedin.com/in/christellemombozigah/
Website: https://christellemmbo.wixsite.com/my-site
Learn more about our mission and become a member here: https://www.womenindata.org/
All Data Bytes listeners get 20% off of WiD membership by using the code: DATABYTES20
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Overview
We are joined by two guests. First, Nesli Bisgin Data scientist and researcher with a PhD in Electrical and Computer Engineering and MS in Mathematics. Nesli is also the instructor for Women in Data’s Data Science Portfolio class.
Our second guest is Taye Johnson. Taye is a technologist and educator who has worked in a variety of industries including nonprofit, start-ups and global enterprises In Addition, Taye is the instructor for Women in Data’s Data Analytics Portfolio class.
In this episode, we chat about the keys to a great portfolio, the importance of defining your business question and how to get inspiration from everyday life for your portfolio projects.
About Taye Johnson
Taye Johnson is a technologist with years of experience working within the global data industry. Throughout the years she has worked for startups, nonprofits, and global enterprises. She has worked in Data Governance and as an After-School Coding Instructor. Taye is also an advocate for diversifying tech and facilitates technical workshops outside of her professional role at emerging nonprofits.
About Neslihan Bisgin
Neslihan Bisgin is a Data scientist and researcher with a PhD in Electrical and Computer Engineering and MS in Mathematics. Strong knowledge in ML and NLP with applications ranging from Twitter data analysis to cancer detection and disease prediction. Proficient in Python and Matlab. Experienced Lecturer with a history of working in the higher education.
Learn more about our mission and become a member here: https://www.womenindata.org/
All Data Bytes listeners get 20% off of WiD membership by using the code: DATABYTES20
Support this podcast: https://anchor.fm/women-in-data/support
Overview
We are talking to Shany Mahalu and Sam Borghese. We discuss how we can design projects that enable success on both the students and the industry standpoint. Finally, we wrap up the episode talking about the future of education, and how technology can enable change.
About Shany Mahalu
Shany Mahalu Atiya is a higher education professional with an extensive experience designing, implementing, and leading graduate strategic initiatives and educational programs. She serves as the Senior Director, Corporate Engagement and External Relations for the Master of Quantitative Economics (MQE) at UCLA Department of Economics. She is responsible for generating and cultivating a corporate employer pipeline and nurturing meaningful relationships with corporations and industry leaders that position MQE students for success in the job market. Shany began her professional career at the Israeli Defense Forces, where she served as a Non-Commissioned Educational Officer and later as Director of Security Operations for the Israeli Airlines, El Al. After graduating from Pepperdine with a Master of Science in Organization Development in 2008, she further developed her passion for people and leadership, and started her journey as a higher education professional. In her tenure at Pepperdine Graziadio Business School, she led the admissions, recruitment, career development, alumni, and employer relations efforts for the part-time and executive MBA/Master programs. Her passion for diversity and inclusion led her to design and facilitate military-connected career readiness programs and initiatives in collaboration with the Service Academy Career Conference (SACC) and the Amazon Military Event team.
About Sam Borghese
Sam Borghese has designed and taught eight courses inside the Master of Quantitative Economics (MQE) at UCLA. This curriculum includes, Cloud Computing, Machine Learning in Finance and Blockchain. All course work is project-focussed to allow students to gain pragmatic experience in these fields. Another responsibility at UCLA that Sam has undertaken is advising applied projects. Companies that partner with the MQE layout a data-driven problem in which Sam assembles a team and walks students through potential solutions over an academic quarter. Prior to this, Sam was doing research with a former Economist at George Soros Fund creating models for forecasting asset prices. Both of them teamed up to create a Mock Fund that disseminates the signals for investment banks and other financial institutions to view. This project grew to be the UCLA Quant Lab, which Sam is the appointed Director of. Simultaneously Sam runs a Quant Hedge Fund that is up +30% net of fees in 2022.
Social Handles
Sam Borghese Linkedin: linkedin.com/in/samborghese Shany Mahalu Linkedin: https://www.linkedin.com/in/shany-mahalu-atiya-msod-a47831a/
Learn more about our mission and become a member here: https://www.womenindata.org/
All Data Bytes listeners get 20% off of WiD membership by using the code: DATABYTES20
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Allexx Bolander is a digital evangelist for P3 adaptive. She has a knack for automation, process improvement, and providing a human element to technical solutions. In addition to owning two small businesses, she recently made the transition from Power BI Developer / Business Analyst to a Digital Evangelist where she melds her love of data and creativity into one career path.
In this episode, Allexx shares how her vast experience allow her to carve her own path and to become a digital evangelist, the importance of adding the human element into technology development and how women can break down the barriers they face in technology.
About Allexx Bolander
Allexx Bolander is a data enthusiast with a passion for data, wordsmithing and overall process improvement. In addition to owning two small businesses, she recently made the transition from Power BI Developer / Business Analyst to a Digital Evangelist where she melds her love of data and creativity into one career path. By leveraging her technical expertise in Power BI, knowledge in Business Analytics, and her passion for creativity she bridges the gap between sales, operations, and marketing to promote both the BI community and P3 Adaptive.
Social Handles
Website: https://p3adaptive.com/
Learn more about our mission and become a member here: https://www.womenindata.org/
All Data Bytes listeners get 20% off of WiD membership by using the code: DATABYTES20
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Today we chat with Jolie Vitale who leads the data department at Carhartt. Jolie has been leading data teams for the past ten years and previously worked at Rocket Mortgage. In this episode, Jolie shares how to enable a data driven culture, the leadership traits one must embody to enable that change, and how we all have the opportunity to lead through empathy, authenticity and listening.
About Jolie Vitale
Jolie leads the Data department at Carhartt, a retail workwear brand. She has been in data for thirteen years and in leadership for the past ten. She began her career fifteen years ago as a Marketing intern at Rocket Mortgage. She has a bachelor's degree in Marketing from Northern Michigan University with a minor in Art and Design.
Social Handles
LinkedIn: https://www.linkedin.com/in/jolievitale/
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Marcia Drake is theDeputy of Data Acquisition and Data Management at the State of Washington Health Care Authority and has over 20 years experiences working in a variety of public service roles.
In today’s episode, Marcia Drake shares her inspirational story of how she turned her weaknesses into her strengths, how she takes a purpose driven approach to data projects, and her thoughts on how women can drive change in the metaverserve.
About Marcia Drake
Marcia Drake has a passion for helping others to turn data into actionable results to make a difference in the world. With 24 years of data and IT experience in state, federal and private agencies, her data journey has involved saving lives, reducing collisions, studying social behavior patterns, solving crimes, improving systems, increasing data quality, evaluating systems, and local, state, federal and tribal committee work. She is a former chair of the USDOT NCSA NHTSA Fatality Analysis Reporting System (FARS) National Information Technology Advisory Panel, and has served as a grant peer reviewer on numerous grants for the United States Department of Justice.
Marcia has worked with traffic safety and transportation data, health data, court data, law enforcement and crime data, GIS, and other social science data. She is a trained anthropologist, crime, traffic and intelligence analyst who served with both the Washington State Patrol and Pinkerton Consulting and Investigations at Microsoft Global Security- Microsoft Headquarters. Later, she spent several years working for the Washington State Courts as the Data Quality Coordinator. Marcia is currently the Deputy of Data Acquisition and Data Management at the Washington State Health Care Authority.
Marcia has received numerous awards throughout her career, including from the United States Department of Transportation (USDOT), National Center for Statistical Analysis (NCSA), National Highway Traffic Safety Administration (NHTSA), the Washington Traffic Safety Commission, and the Washington State Patrol.
Additionally, Marcia is trained in Feminine Power Transformational Leadership, life and business coaching, and Impact Economics. She has an interest in sustainability and solving problems at the global level and is a certified blockchain enterprise professional.
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
We have the pleasure of chatting with Joanna Lovering. Joanna is an executive presence coach, workplace psychologist, and fashion stylist who helps primarily women develop transformative leadership skills.
Joanna earned her M.A. in Social-Organizational Psychology from Columbia University before taking on leadership development roles at Tiffany & Co., JetBlue, and Daily Burn, among others.
In this episode, Joanna shares why executive presence is essential for women, how to lead with authenticity, and small practical steps you can take that will lead to big changes. Joanna’s energy is contagious and you will come away inspired after this episode.
About Joanna Lovering
Joanna is an executive presence coach, workplace psychologist, and fashion stylist who helps primarily women develop transformative leadership skills. Using her engaging and approachable method, Joanna teaches women how to show up with character, confidence, and style.
Joanna earned her M.A. in Social-Organizational Psychology from Columbia University before taking on leadership development roles at Tiffany & Co., JetBlue, and Daily Burn, among others. After accumulating over ten years of leadership development experience in a mix of corporate and start-up settings, she founded Copper + Rise in 2017.
Joanna founded Copper + Rise to teach women what no one teaches them about leadership. Over the years, she’s realized that leveling up in your career isn’t just about what you know. We also have to look, speak, and act like leaders--and that’s where executive presence comes in. Joanna defines executive presence as how you speak, how you act, and how you look. It’s the style and substance of who you are. Joanna’s background in psychology, leadership development, and fashion styling is the trifecta she brings to this work.
Joanna’s writing and insights on leadership, presence, and style have been featured in RealSimple, Fast Company, HerMoney, HuffPost, The Muse, Glassdoor, Fairygodboss, TheLadders, and more.
Social Handles
LinkedIn linkedin.com/company/copperandrise
Instagram instagram.com/copperandrise
Website copperandrise.com
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Our guest today is Samantha Van Der Merwe, Data Science Technical Lead at Kantar and machine learning content creator. Samantha has a Bachelor's in Engineering and a Master's in Data Science, and helps teams successfully scale and deploy data science and analytics solutions.
In this episode, we chat about the tech stack needed to deploy machine learning models, her journey to becoming a tech lead, and how we can ensure our models have the business impact we are looking for.
About Samantha Van Der Merwe
As a Data Science Technical Lead, Samantha helps teams to successfully scale and deploy Data Science and analytics solutions. Samantha also builds Machine Learning solutions and provides career support to women who are aspiring Data Scientists through online social platforms.
Background:
BEng Industrial and Systems Engineering
MSc Statistical Science
Experience:
5 years in Advisory and Analytics role, 5 years in Data
Science
Hobbies:
Digital content creator samzee_codes
Fun facts:
Loves travel, anime and sometimes I cosplay as Shuri from
Black Panther
Social Handles
Youtube: https://www.youtube.com/channel/UCc0ofK4jaPXE1h-tzmes0cQ
LinkedIn: https://www.linkedin.com/in/samantha-van-der-merwe-49aa03a6/
Tiktok: https://www.tiktok.com/@samzee_codes
Instagram: https://www.instagram.com/samzee_codes/
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Today we are chatting with the Founder & CEO of Lately, Kate Bradley Chernis. Lately uses A.I. to learn which words will get you the most engagement, and turns video, audio and text into dozens of social posts containing those words.
Kate has had an exciting career as a former rock 'n' roll DJ, to Music Director, to on-air host at Sirius/XM, to owning a marketing agency. In this episode, Kate shares the inner workings of how music and neuroscience inspired the design of Lately’s AI model, the highs and lows of entrepreneurship, and how authenticity is the only way to lead.
About Kate Bradley Chernis
Kate Bradley Chernis is the Founder & CEO of Lately – A.I. that learns which words will get you the most engagement and turns video, audio and text into dozens of social posts containing those words.
As a former rock 'n' roll DJ, Kate served 20 million listeners as Music Director and on-air host at Sirius/XM. She’s also an award-winning radio producer, engineer and voice talent with 25 years of national broadcast communications, brand-building, sales and marketing expertise. What she learned in radio about the neuroscience of music helps fuel Lately's artificial intelligence.
Prior to founding Lately, Kate also owned a marketing agency which got Walmart a 130% ROI, YoY for three years.
In addition, Kate's appeared as a guest speaker on hundreds of sales, marketing and entrepreneurial podcasts and has led presentations for Walmart, National Disability Institute, IRS, United Way Worldwide, SaaStr, SXSW, Content Marketing Institute, HubSpot, Harvard University, Columbia University, NYU and others.
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Ashley M. Scott is an award-winning data professional, entrepreneur, and consultant who uses her experience in data analytics and business to encourage and champion diversification of the data practitioner pipeline.
In this episode, we chat about the 5 whys of data, whether you should be a generalist or a specialist, how to network and build relationships in a digital environment, and the importance of communication.
Anyone who has the pleasure of chatting with Ashely will leave feeling inspired by her thoughtfulness and passion for helping others succeed.
About Ashley Scott
Ashley M. Scott is an award-winning data professional, entrepreneur, and consultant who uses her experience in data analytics and business to encourage and champion diversification of the data practitioner pipeline. Scott previously co-led the project management of an American medical tourism facility in Tanzania, East Africa, and she created the #DataGirl social media campaign, which received international recognition and supports the Data Girl Scholarship. With her online platform, Data Girl Ash, Scott demonstrates tactical approaches to make data-driven decisions while empowering others to pursue their own successful careers. Scott holds an MBA with distinction, a BS in Public Health, magna cum laude, and has earned a Women’s Entrepreneurship certificate from Cornell University.
Social Handles
www.instagram.com/datagirlash
https://www.facebook.com/datagirlash
https://www.twitter.com/datagirlash
https://www.linkedin.com/in/ashleym-scott
https://www.linkedin.com/company/data-girl-ash
https://beacons.ai/datagirlash
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Listen to Neha Madhavan share her experience working as a business analyst at Formula 1 motorsports.
With a background in IT, she broke the mold to create her own path by moving to Paris to get a degree in project management, and then moved to London and entered a male-dominated industry in motorsport.
Today she continues to lead the way by breaking the labels given to her and is on a mission to encourage others to feel empowered enough to break away from labels and create the life they desire.
About Neha Madhavan
"Hello everyone, I am a Business Analyst working in the fast-paced world of Formula 1, the pinnacle of Motorsport. I am involved in the analysis, testing, and deployment of low-code Microsoft Powerplatform solutions to optimize internal business processes. With a strong background in IT, when the only reasonable, industry-approved option for higher studies was in Data Science or Analytics, I followed my heart and pursued a degree in Project Management for which I had to immigrate to Paris from India. Upon graduation, I once again pivoted to Business Analysis and moved to the UK to work in an industry that I am passionate about – as a fan! Never could I have imagined growing up that I could work in F1 without an Automotive background.
I did the inner work to let go of self-limiting beliefs, trust in my skills, and build on them in a way that led to my eventual independence in two foreign countries and freedom of choice in careers. My hope is to inspire and encourage others to feel empowered enough to break away from labels that limit them. As for my labels, I am a brown immigrant woman with a non-motorsport background working in a male-dominated industry and that is simply a fact about part of my identity, not the whole of it."
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
We chat with Deeksha Anand, Data Analytics Manager at ION, New Delhi Women in Data Chapter lead, and founder of OneStopData, a data community with 80K+ data enthusiasts.
She is a Data Analytics and PowerBI Instructor, and a mentor who has trained 4,000+ people in more than 20 countries.
In this episode, we talk about how to break into a data career, the power of community and networking, and how to get the most out of joining and creating a community.
Deeksha is full of positive energy and keeps the conversation approachable for all levels, I know you’ll enjoy her approachable tips and positive outlook.
About Deeksha Anand
Deeksha Anand is a Data Analytics Manager at ION (a B2B fintech market leader) and the founder of OneStopData (a data community with 80K+ data enthusiasts). She is a Data Analytics and PowerBI Instructor and a mentor who has trained 4000+ people in over 20 countries.
She has delivered talks, led sessions, and hosted webinars on data careers and career growth via her 'Women in Data' community.
Social Handles
LinkedIn https://www.linkedin.com/in/deekshaanand0902
Instagram @onestopdata
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
In this episode, Jessica shares her journey into data science, tips for understanding business problems and communicating with stakeholders, and the value of publishing your work and patenting your technology. This conversation will get you excited about the opportunity for invention.
About Jessica Iriarte
Jessica Iriarte is a data science & analytics leader, petroleum engineer, published author, and inventor of several patent-pending technologies with 10-plus years of experience working in data science, research, and field operations.
Jessica is currently a Sr. Manager of Data Science at Vroom, an e-commerce company that enables consumers to buy, sell, and finance cars online. Before Vroom, Jessica launched and grew the data science team at Well Data Labs, serving as a subject matter expert to bridge the technical gap between engineers and data scientists. She received the 2018 Denver Business Journal Top Women in Energy Award and the 2020 SPE Young Member Outstanding Service Award.
Social Handles
LinkedIn https://www.linkedin.com/in/jessicairiarte/
Published Work https://scholar.google.com/citations?user=pQ9H-eMAAAAJ&hl=en&oi=ao
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Today we have three amazing ladies and artists on the podcast who designed and created Women in Data’s first membership NFT.
Diane Ortiz-MacLeod is a data scientist and artisan working in global predictive supply chain analytics.
Cristina Carlos is the founder MiniNinja Multimedia where she works on commission pieces.
And last but not least, Tressa Rivers is a former graphic artist/ fashion designer who is in the process of transitioning her career into the data and tech world.
Each of these women are also Women in Data members.
About WiD's NFT Collection
Women in Data’s first NFT collection, Visionaries, was created by our community, for our community. It celebrates all of the bold and diverse women in data, and our vision for the future. Our women in data are looking to the future with their heads high, courageously leading the way in data and technology and they are unstoppable. They come from different backgrounds and cultures, and each one is uniquely beautiful like each of our members
We hope our NFT collection inspires more women to enter and explore web3.
Learn more about our NFT collection, mission and become a member here: https://www.womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Chengyin Eng is a Senior Data Science Consultant at Databricks. In this episode, we chat about how her experience researching tree mortality has influenced the way she thinks about ML today, how MLOps is quickly evolving, and the challenges and opportunities in the road ahead. Finally, we dive into NLP and the progress, the challenges, and the areas Chengyin is most excited about. We cover a lot of ground in this episode, but Chengyin keeps it fun and educational.
About Chengyin Eng
Chengyin Eng is a Senior Data Science Consultant at Databricks. She is experienced in developing end-to-end scalable machine learning solutions for cross-functional clients. She also teaches machine learning courses, including deep learning and ML in production. She holds an MS in Computer Science from the University of Massachusetts, Amherst. Her bachelor's degrees were in Statistics and Environmental Studies from Mount Holyoke College. Outside of work, she enjoys watching crime mystery films, arranging flowers, playing music, and trying out new food recipes.
Social Handles
LinkedIn https://www.linkedin.com/in/cyeng/
Website https://www.chengyineng.com
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Today we are chatting with Soledad Alvarez del Sel, who is Head of Data and Applied AI practice unit at Baufest, as well as a Forbes technology council member and chapter lead for Women in Data Buenos Aires.
In this episode, Soledad shares the importance of listening over talking, why it’s essential for leaders to find their why, and how leaders can overcome some of the top challenges when leading AI and analytics teams.
You’ll find this episode insightful for current analytics leaders and those looking to grow their leadership skills.
About Soledad Alvarez Del Sel
First and foremost, I’m a mum who loves to travel.
I’ve been in the data field for more than 18 years. I am currently the Head of Data and Applied AI practice unit at Baufest, an international IT services company that is fast expanding. Among my responsibilities, I design the development strategy of my unit, and define how it needs to be organized in terms of structure, team profile, service offerings and economic indicators.
Before that, I worked at IBM for almost 15 years, where I started as a SQL developer in a Data Warehouse project, and had an amazing journey through different industries and roles, working with and learning from teams from different countries around the world.
I have a Bachelor’s degree in Computer Science from University of Buenos Aires, and I’m currently an Executive MBA candidate at IAE Business School. As of 2022, I’m an Official Member of Forbes Technology Council, where I have a great opportunity to connect and discuss challenges with other executives around the world in private forums, and also contribute with articles and participation in Expert Panels. Last but not least, I joined Women in Data as Buenos Aires Chapter lead.
Social Handles
LinkedIn https://www.linkedin.com/in/soledad-alvarez-del-sel/
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
In this episode you will learn how to optimize your analytics team, make a business case, and hire diverse individuals. Our guest is Kira Wetzel, Head of Data and Analytics Engineering, Architecture, and Governance for Reality Labs Operations at Meta. Kira is a true leader and has built an incredibly diverse team. In addition, Kira shares why it’s important to expose girls to working with data and how Girls + Data has provided this access to 700+ girls.
About Kira Wetzel
Kira is the Head of Data and Analytics Engineering, Architecture, and Governance for Reality Labs Operations at Meta. Along with Meta, she has worked at Apple and been a consultant. Prior to starting in data she was a high school math teacher which is the reason she founded Girls + Data, a non-profit which provides middle school girls with learning opportunities in data and analytics.
Social Handles
LinkedIn http://www.linkedin.com/in/kirawetzel
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Today, we sit down with Wendy Batchelder SVP of Global Data Governance & Chief Data Officer of Trust at Salesforce. In this episode, Wendy shares the pivotal experiences and risks she took along her career journey to be in the position to lead today. We also dive into how organizations can use data to make the right decisions at the right time, and she shares her advice for women to move into leadership positions.
Wendy is a thoughtful, strategic, and compassionate leader. We know you will be inspired by her journey and her insights on data.
About Wendy Batchelder
Wendy Batchelder serves as the Senior Vice President of Global Data Governance and the Chief Data Officer of Trust at Salesforce. She is responsible for enabling the company with the right data, at the right time, with the right controls. Every day she gets to help the company make easier, faster, better, and more reliable decisions based on trusted insights. She is passionate about building inclusive spaces, continuous learning, and working to amplify others.
Batchelder is based in West Des Moines, Iowa, with her husband, six kids (really!), her dog Coco, and two cats. She has the privilege of serving on the Board of Directors of the United Way of Central Iowa (including on the Finance & Audit Committee as well as being the Chair of the IT, Data, & Privacy Committee). In 2019, she was appointed to the Iowa Governor’s STEM Advisory Council, where she also co-chairs the Career Awareness subcommittee. Additionally, Wendy is a member of Iowa’s Computer Science Working Group for Education, established to design K-12 computer science education for the State of Iowa, and was recently appointed into Chief. In 2021, Batchelder received recognition for her contributions in Data Management and was awarded Chief Data Officer of the Year by Informatica.
Prior to joining Salesforce, Batchelder served as Chief Data Officer at VMware, held various leadership positions in data at Wells Fargo, and spent 10 years in IT Audit at EY, KPMG, and Aviva USA. Batchelder holds an Executive Master of Business Administration degree from University of Iowa, a Master’s of Accountancy from Drake University, and a Bachelor of Science in Accounting from Miami University. She is also a Certified Information Systems Auditor.
Social Handles
LinkedIn https://www.linkedin.com/in/wendybatchelder/
Learn more about our mission and become a member here: https://www.womenindata.org/
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Overview
In this episode, we chat with Archana Deshpande VP, Enterprise Architecture and Data Services for Business Technology at Workday. Take a deep dive into enterprise architecture and how she solves complex business problems. Archana also explains why communication is so important in data roles.
You will be inspired by her strategic and genuine approach to data.
About Archana Deshpande
Archana Deshpande is VP, Enterprise Architecture and Data Services for Business Technology at Workday. She oversees the strategy and data platforms that drive trusted insights for business partners in addition to architecture and technology governance.
Prior to joining Workday, Archana was responsible for Data Management and Enterprise Planning at Symantec. She was also the Distinguished Enterprise Architect leading key strategic initiatives for CRM and ERP consolidation, Quote to Cash Optimization and M&A. Prior to Symantec, she held several leadership roles at Franklin Templeton managing technology portfolios across Sales, Marketing and Support.
Archana holds a Bachelor’s degree in Electronics Engineering from Pune University, India.
Learn more about our mission and become a member here: https://www.womenindata.org/
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Overview
In this episode we discuss how AI has moved from narrow to general, and the safety implications of this from malicious use to accident. We speak with Jeremie Harris, co-founded of an A.I. safety company Mercurius, and previous co-founder of Sharpestminds.
Jeremie has advised senior political and policy leaders around the world on long-term risks from A.I. and provides insightful recommendations on how we can all shape the future of AI in positive direction.
About Jeremie Harris
Jeremie is a startup founder whose last company pioneered a new funding mechanism for mentorship-based education, and was backed by top Silicon Valley investors, including Y Combinator. In 2020, he left the company to work on rapidly emerging problems in AI safety. He's briefed senior cabinet members in the Canadian government, and senior U.S. defense and national security officials on AI risk-related issues.
Social Handles
LinkedIn https://www.linkedin.com/in/jeremieharris/
Twitter https://twitter.com/jeremiecharris
Website https://www.mercurius.ai
Resources
https://www.aitracker.org
https://medium.com/@edouard_harris/moving-on-3cd0fd455aab
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Overview
Learn how to apply your creativity from Tiankai Feng, Head of Product Data Governance at Adidas. He is also a Musician and LinkedIn Creator. We discuss how following your passion always pays off even if the career isn’t readily available, the intersection of music and data, and how data professionals can apply creativity to their work.
About Tiankai Feng
Tiankai is a data leader by day and a passionate musician by night, who loves to combine his left and right brain to approach data topics creatively. He has worked in Data Analytics jobs with various industries and is currently leading the Product Data Governance team at adidas, and has built up a reputation of posting funny and thought-provoking music videos on LinkedIn and YouTube about work, life and everything in between.
Social Handles
LinkedIn https://www.linkedin.com/in/tiankaifeng/
YouTube https://www.youtube.com/kaifeng
Spotify https://open.spotify.com/artist/6U3ui1iBbNEbqPGjGJLuvq?si=HqfMZLyZQ1O7g5-CcZmUfQ
Learn more about our mission and become a member here: https://www.womenindata.org/
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Overview
Today’s guest is Alexandra Ebert, Chief Trust Officer at MOSTLY AI. Alexandra’s work focused on public policy issues in the emerging field of synthetic data and Ethical AI. In this conversation we discuss the importance of communication skills for data professionals, what synthetic data is and how it can assist in privacy and fairness, and wrap up by discussing the importance of open data for research, education, and policy.
This episode is great for data leaders looking to increase the privacy practice of their data teams, and provides practitioners and consumers with insights on the current state of Ethical AI.
About Alexandra Ebert
Alexandra Ebert is a Responsible AI, synthetic data & privacy expert and serves as Chief Trust Officer at MOSTLY AI. As a member of the company's executive leadership team, she is engaged in public policy issues in the emerging field of synthetic data and Ethical AI and is responsible for engaging with the privacy community, with regulators, the media, and with customers. She regularly speaks at international conferences on AI, privacy, and digital banking and hosts The Data Democratization Podcast, where she discusses emerging digital policy trends as well as Responsible AI and privacy best practices with regulators, policy experts and senior executives.
Apart from her work at MOSTLY AI, she serves as the chair of the IEEE Synthetic Data IC expert group and was pleased to be invited to join the group of AI experts for the #humanAIze initiative, which aims to make AI more inclusive and accessible to everyone.
Before joining the company, she researched GDPR's impact on the deployment of artificial intelligence in Europe and its economic, societal, and technological consequences. Besides being an advocate for privacy protection, Alexandra is deeply passionate about Ethical AI and ensuring the fair and responsible use of machine learning algorithms. She is the co-author of an ICLR paper and a popular blog series on fairness in AI and fair synthetic data, which was featured in Forbes, IEEE Spectrum, and by distinguished AI expert Andrew Ng.
About MOSTLY AI:
MOSTLY AI developed the world's most accurate synthetic data platform: a game-changing new anonymization technology that empowers businesses to unlock their big data assets, without putting their customers' privacy at risk.
Social Handles
Linkedin https://www.linkedin.com/in/alexandraebert/
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Khuyen Tran has written 150 data science articles and has over 100K views per month on Towards Data Science. She also wrote over 500 daily data science tips at Data Science Simplified. Khuyen's current mission is to make open-source more accessible to the data science community.
In this episode, we discuss why it’s important to share your work. Python tips for individuals at all learning levels, and tips on how to set up your environment and stay consistent to meet your goals.
Be inspired by Khuyen's tenacity and discipline, and learned a lot in this episode. Enjoy!
About Khuyen Tran
Khuyen Tran is a data science intern at Ocelot Consulting. She wrote over 150 data science articles with over 100k views per month on Towards Data Science. She also wrote over 500 daily data science tips at Data Science Simplified. Her current mission is to make open-source more accessible to the data science community.
Social Handles
Linkedin https://www.linkedin.com/in/khuyen-tran-1401/
Twitter @KhuyenTran16
Medium https://khuyentran1476.medium.com/
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Overview
Today we are talking with May Chan, Co-Founder and CEO of Hashpack. May is a leader in the Hedera ecosystem and strives to foster a community that champions the projects and people who are contributing to the space.
Prior to Hashpack, she was an electrical engineer designing everything from sixty-storey high rises, to data centers, to airport radar infrastructure.
In this episode May shares her journey to starting and leading Hashpack, explains what Web3 means for data professionals, and dives into the importance of a wallet in the crypto space.
Get ready to dive into an inspirational interview that will get you excited about the future.
About May Chan
May is the Chief Executive Officer of a cryptocurrency startup company called HashPack, which is a crypto wallet built on the Hedera Hashgraph platform. She is a community leader in the Hedera ecosystem and strives to foster a community that champions the projects and people who are contributing to the space. Aside from business development and relations with the other companies in the space, May also engages with the platform on a technical level, writing code and submitting proposals for platform standards.
Prior to co-founding HashPack, May was a professional electrical engineer in the building consulting industry, designing everything from sixty-story high rises to data centers to airport radar infrastructure. The mix of technical expertise, project management and interpersonal relationship management provided a strong foundation for May's dive into the tech industry.
Social Handles
Linkedin https://www.linkedin.com/in/may-chan-301622206/
Twitter @may_hashpack
Website hashpack.app
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Overview
Learn the impact of asking questions with Helena Merk. She was the co-founder and CEO of Glimpse, a video chat platform to help remote teams connect. Follow along her founders journey, and learn how you can better network by building meaningful relationships and asking the right questions. Finally, we discuss her process for starting her new company in climate crypto.
About Helena Merk
Helena Merk previously built Glimpse (W20), a video chat platform to help remote teams connect. They just announced our acquisition and she’s now starting a new company in climate crypto. Before starting Glimpse she worked as a software engineer at a startup and studied Global Health and CS at Duke for a year before dropping out.
Social Handles
Twitter @HelenaMerk
Learn more about our mission and become a member here: https://www.womenindata.org/
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Overview
We chat with Kimberly Grower, the Director of Research at Chainalysis. She has has a Masters degree in Philosophy from Oxford University and a Master in Public Administration with a focus in Economic Policy from London School of Economics.
In this episode we discuss how she got into the crypto space, how Chainalysis is using data to inform policy, consumers, and provide research, and finally we take a deep dive into her 2022 crypto crime report to discuss the industry and how consumers can better protect themselves from fraud with well informed information. Be inspired by the opportunity available for data professionals to enter the crypto space.
About Kim Grauer
Kimberly Grauer leads research at Chainalysis, where she has led numerous reports on macroeconomics trends and dynamics in the cryptocurrency space. She previously worked in policy research for the New York City Economic Development Corporation, has a Masters degree in Philosophy from Oxford University and a Master in Public Administration with a focus in Economic Policy from London School of Economics.
Learn more about our mission and become a member here: https://www.womenindata.org/
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Overview
Before data became “cool,” Priya pioneered some of the earliest advancement in the space and helped companies like Hyundai, Shell, and Microsoft find ease and avoid over-architecting informed solutions.
In this episode we discuss, how to build a data culture, some of the key challenges when building a data culture, and the need for data storytelling skills across the organization. This episode is great for leaders looking to make organizational change, and individuals looking to maximize their impact.
About Prachi Priya
In her role, Prachi oversees the agency’s consolidated Data & Analytics team across all six of Team One’s offices. With over 18 years of success conceptualizing, developing and delivering best-in-class analytics solutions, she ensures that the company’s products and capabilities are ahead of industry trends, by archetyping the next generation of data strategy, analytics and partnerships.
Before data became “cool,” Priya pioneered some of the earliest advancement in the space and helped companies like Hyundai, Shell, and Microsoft find ease and avoid over-architecting informed solutions. She’s always ready to roll up her sleeves and dig into details, while also keeping strategic intent top-of-mind and leveraging the latest advancements in analytics. Priya excels at helping organizations become innovative and modern, adopting the mindset that it’s okay to lean into data and technology as a competitive advantage, while preserving the legacy in which a company was founded upon.
Prior to joining Team One, she held various leadership roles, both on the agency and business-side, at global firms like Wunderman Thompson, UnitedHealthcare, and Lifetime Fitness where she helped drive growth and strategic consumer relationships. She also currently serves on the Asians in Advertising and I-COM advisory boards and collaborates with industry leaders to develop best practices in Data-driven Marketing
Social Handles
Linkedin https://www.linkedin.com/in/prachipriya/
Learn more about our mission and become a member here: https://www.womenindata.org/
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Today we chat with Mark Mohammadpour, owner and Chief Well-being Officer at Chasing the Sun. Mark shares why we need a focus on wellbeing now more than ever, what individuals, team leaders, and organizations can do to positively impact wellbeing, and mark shares his journey to becoming a chief wellbeing officer. This episode is packed with tons of actionable insights and recommendations you can take today to live your best life and career.
About Mark Mohammadpour
Mark Mohammadpour is the owner and Chief Well-being Officer at Chasing the Sun. After spending his public relations career as an executive at Edelman and Weber Shandwick, and after losing and keeping 150 pounds over the last decade, Mark launched Chasing the Sun to empower business leaders to prioritize their well-being so they can shine in the family room and the board room. Mark’s keynote speeches, workshops, and individual, team, and enterprise-wide programs deliver relatable, practical, and actionable advice to help increase
Overview
Why do we need to have a focus on well-being now more than ever? Mark is here to answer that question and help us find wellness in the workplace. We find positive outcomes in our health and career when we focus on our well-being. Mark shares how we can take control of our wellness at an individual and team level. He talks through the unwritten rules about how to manage and engage with people to make sure they are taking time for themselves.
Social Handles
Linkedin https://www.linkedin.com/in/markmohammadpour/
Instagram @markmoh
Twitter @markmoh
Website chasingthesunpdx.com
Email mark@chasingthesunpdx.com
Learn more about our mission and become a member here: https://www.womenindata.org/
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Overview
We speak with Joyce L. Myers, Chief Data and Analytics Officer for the U.S. Army. She has over 40 years of experience and has seen drastic changes within technology and also women's rights. She shares practical advice how you can have a positive attitude to achieve your career goals. In addition, she talks about the new advancements in data and analytics for the U.S. Army and the new role that has been created of data science within the Army. Joyce is also a member of Women in Data, and mentor. You will enjoy this episode as Joyce shares her practical advice and thoughtful insights she provides.
About Joyce Myers
Ms. Joyce L. Myers assumed the Chief Data and Analytics Officer position in September 2020. She is responsible for the command wide data and information strategy, governance, control, policy development, and effective data exploitation. Prior to this she served as the AMCOM Secretary of the General Staff (SGS) from June 2018 - September 2020.
She was born as part of a military family. After completing her Associate’s Degree in Structural Engineering, she joined the U.S. Army in 1984.
She supported various Army Logistics data contracts from 2005-2010. From 2010 – 2018, she led the teams that were responsible for analyzing multiple logistics data sets to identify data trends related to processes, systems, policies, and internal business rules to identify possible impacts each particular data set, on its own and when integrated, and on materiel readiness and customer requirements.
In addition to her Associate’s Degree, Ms. Myers holds a Master of Science degree in Education and a Bachelor of Science in Business Administration (Logistics Management). Ms. Myers holds a Graduate Certificate in Enterprise Systems, a Lean Six Sigma Green Belt, and is a SAP TERP 10 Certified Associate.
Ms. Myers’ is active in her community through leadership roles in several nationwide non-profit Veteran Service Organizations.
Social Handles
Linkedin https://www.linkedin.com/in/joycemyers/
Instagram @joycemyers6
Learn more about our mission and become a member here: https://www.womenindata.org/
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In this episode we chat with Monica McEwen, Managing Director for Government and Public Services Strategy & Analytics team at Deloitte. She talks about use cases in government for AI & Analytics, how to make a career change in the pandemic, and how to find mentorship & sponsors.
About Monica McEwen
Monica is a Managing Director in the Government and Public Services Strategy & Analytics team at Deloitte. Monica is a thought leader with experience helping government agencies with their most challenging analytics & data challenges. Prior to joining Deloitte, Monica has spent the last her career working for software companies (ThoughtSpot, Qlik, Cognos) and supporting Government Agencies. Monica loves to work with clients on their most challenging data problems and brings the perspective of solving business problems combined with technology.
Overview
Learn the key points along Monica's journey that has gotten her to where she is today. She answers some questions like " What are the types of problems governments are looking to solve with analytics?" and "What advice do you have for those looking to work in the public sector? ".
She shifts into the great resignation and how many people are searching for change. Monica shares how she has dealt with change in the past and gives advice for those facing a mid to quarter life crisis and want to make a change. In addition, Monica shares the power of mentorship and tips on how you can find a mentor.
Seeking a mentor or mentee? We are here for you! Check out more information about our mentorship program below:
https://www.womenindata.org/mentorship
Social Handles
Linkedin https://www.linkedin.com/in/mmcewen2006/
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Sudeshna Choudhury started her career in analytics in the early 2000s, given her a wide range of experience and deep understanding of the analytics space. In this episode you will gain insights on how to develop a lasting analytics strategy and how to revise your strategy to best fit the changes in our current environment. Sudeshna also shares about the work she is doing with Women in Data in India and how it is changing the diversity in data careers.
About Sudeshna Choudhury
Sudeshna Choudhury is currently the Head of Strategy, Business Analytics, Analytics and Insights at Tata Consultancy Services. With a career in Data and Analytics for the last twenty years, her skills, interests and focus are all around data and Analytics and engagements around that. She is very passionate about Data for Good and Sustainability solutions and is keen on networking and collaborating on these platforms across industries and academic institutions. She is an IEEE senior member of Kolkata Section and Chair for Women in Engineering (WIE), IEEE, Kolkata Section. She is the first Chapter Lead in India for Women in Data and Asia Region Head for the same. Data being her passion since the start of her career, her role in Women in Data gives her an opportunity to work with Data across the globe and across organizations to promote involvement and networking with women in Data and work towards a wider cause of Data For Good.
Overview
What did a data career look like back in the 2000s? Take a deep dive with Sudeshna as she shares her journey through analytics. She shares the changes that she has seen within the last 20 years and what she is looking forward to in the future. Sudeshna talks through the components of a successful analytics strategy, and how strategies differ based on the size of an organization. Strategy is important but she tells us how we can move from strategy to execution. Sudeshna is also very passionate about diversifying data careers. She talks about Women in Data in India and what some of the biggest barriers she sees to increasing representation in data.
Social Handles
Linkedin https://www.linkedin.com/in/sudeshna-choudhury-31335692/
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Our guest this week on the Data Bytes podcast is Asya Spears. In this episode, learn how we can advance equity in data careers and how we can better think about transparency within our data. Asya shares great insights into systems thinking and how we can think outside of the box.
About Asya Spears
Asya Spears is a Biostatistician turned STEM Education researcher who focuses on how data skills are cultivated and applied to advance equity in spaces where data is a part of the conversation. As the founder of Rose Data Studio, a data career strategy firm, she teaches skills beyond theory and coding that enable women to align with their passions, showcase their talent, and thrive in their professional endeavors to use data for good.
Asya studied Math at Spelman, a Historically Black College that gave her a foundation in creating inclusive learning environments. She earned her MS in Biostatistics at the UCLA Fielding School of Public Health, where she discovered joy in making statistics concepts accessible to others in Public Health. Currently, she is pursuing her Ph.D. in Policy Analysis at the Pardee RAND Graduate School, with an emphasis on data literacy as a key component of advancing health equity.
Overview
There is inequity in data careers but Asya shares how we approach this problem and find a solution based upon her research. Asya discusses why more people need to speak up and share their ideas on this issue, and she shares her own experiences where she thought differently than everyone else in the room and what the results were.
Social Handles
Linkedin https://www.linkedin.com/in/asyaj
Instagram @rosedatastudio
Twitter @rosedatastudio
Expertly Position Yourself for Data Analysis Roles in Healthcare Masterclass: https://rosedatastudio.thinkific.com/courses/masterclass-data-analysis-roles
Use code "DataBytes15" for 15% off of course
Learn more about our mission and become a member here: https://www.womenindata.org/
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This week on Data Bytes, Susan Walsh discusses data governance. What is it, how can you make sure your data governance strategy stays up to date and who is responsible for maintenance. She not only shares her data insights but also her tips on being yourself on social media. With over 26,000 followers on LinkedIn, Susan knows how to present herself in a positive and professional way.
About Susan Walsh
Susan is Founder and Managing Director of The Classification Guru ltd - a specialist data classification, taxonomy customization and data cleansing consultancy. She is an industry thought leader, TEDx speaker and author. Susan has more than a decade of industry experience and used her platform to educate others on all things data. Susan is passionate about helping you find the value in cleaning your ‘dirty data’ and raises awareness of the consequences of ignoring issues through her blogs, vlogs, webinars and speaking engagements.
Overview
Susan takes us through way all data governances don't last or stay up to date. She shares her advice on keeping data up to date. There is a great cost benefit from having a good data governance practice. Susan also gives insight to another area she is passionate about - Social Media. She talks about putting yourself out there and experiences she has overcome through the pushback she has received. Looking to start sharing more on social media? Susan has you covered, she shares her best tips!
Social Handles
Linkedin https://www.linkedin.com/in/susanewalsh/
Facebook https://www.facebook.com/TheClassificationGuru
Instagram https://www.instagram.com/classificationg/
Twitter https://twitter.com/ClassificationG
YouTube https://www.youtube.com/channel/UCfrWRbL-zeEZsHwjYhj3v_A
Website www.theclassificationguru.com
Learn more about our mission and become a member here: https://www.womenindata.org/
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In this episode, Sadie talks with Misra Turp, the founder of "So you want to be a data scientist?", where she teaches people how to get into data science and deep learning. They discuss topics like real world use cases of deep learning and Misra provides a step-by-step guide in the learning journey for deep learning. Misra does a fantastic job of breaking down the complex things down to a simple, easy to understand format that will help you get started on your deep learning journey.
About Misra Turp
After graduating from my Bachelor's degree on Computer Science in Turkey, I moved to the Netherlands to attend a master's degree. My master's was a specialization in Big Data Engineering. By that point, I had very little idea on where to go with my career so I let my instincts guide me. Fresh out of college, I started working as a data scientist at IBM. During my time there, I got to work in the finance and energy industry. During my time at IBM, I got a lot of questions from aspiring data scientists about how they can too start their data science career. To answer the questions I received the most often, I started my blog So you want to be a data scientist?. This grew into a full-blown platform with videos, blog posts, a podcast and online courses to serve the data science community. After a brief period working in the healthcare industry, I started focusing on So you want to be a data scientist? full-time. Now I make online courses to help beginners learn data science and deep learning and also create content on YouTube and on my website.
Overview
Interested in Deep Learning? Let an expert like Misra guide you through the journey. She discusses how we are using deep learning in the real world and shows us the vision and research behind it all. Misra also shares how you can get started in deep learning, and why having a solid ground first is essential. Finally, see into the future as Misra discusses the top trends in deep learning for 2022.
Social Handles:
YouTube: https://www.youtube.com/c/Soyouwanttobeadatascientist
Twitter: https://twitter.com/misraturp
Deep Neural Networks Hyperparameters cheat sheet freebie: https://www.soyouwanttobeadatascientist.com/nn-hyperparameters-cheat-sheet
Link to Misra's Deep Learning 101 course: https://www.soyouwanttobeadatascientist.com/deeplearning
10% off discount code: DATABYTES22
Learn more about our mission and become a member here: https://www.womenindata.org/
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In this episode, Erik explains what casual inference is, use cases for this type of analysis and why asking for reviews from other team members is important. He also dives into experimentation and how we can evolve our analysis.
About Erik Gregory
"I am a Senior Staff Data scientist with 10+ years of experience who currently works at Meta. My strengths and focus in data science are experimentation and causal inference, data tools and automation, and social network analysis. In my current and past positions I have worked on ecosystem analyses, equitable product development, ads targeting, climate analysis, and Biostatistics research.
I grew up in the Sacramento area, and attended school at American River College and later CSU Sacramento. I currently live in Los Angeles with my wife and our toddler, with a permanent remote worker arrangement. I like to try to teach myself musical instruments, run competitively, and go to restaurants and coffee shops with my family."
Overview
This is a great episode for data scientists or individuals looking to get into the field and specialize in causal inference and experimentation. Erik defines causality and what is needed for this type of analysis. He talks through how a causality use case might be used. Erik shares how we evolve the experimentation process.
Social Handle:
LinkedIn: https://www.linkedin.com/in/erik-gregory-58569a38
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
In this episode, Savitha discusses her story in marketing, how to properly build out a team and marketing analytics applications.
About Savitha Namuduri
Savitha Namuduri has 20 years of experience in Data Science and Analytics space, spanning over several industries such as Telecom, Utility, Retail, Finance, QSR, Insurance, Healthcare and CPG. For the past 15 years she has been running Marketing Analytics teams for agencies such as Omnicom and Wunderman, with her most recent stint being for Zeta Global. She has led the development of solutions for informing and measuring several aspects of marketing, including Customer Acquisition, CRM, Omni-channel Marketing and Customer Journey. Her analytical skill sets range from developing visualizations, to customer segmentation to building predictive models and democratizing data science techniques to solve day-to-day business problems. In addition, Savitha also focuses on providing data-driven recommendations for strategy, setting up experimental designs, conducting primary and secondary research, and developing learning plans to inform marketing and sales strategies. She brings a unique blend of business acumen and technical skill set to consult with clients on the best marketing practices and measurement.
Savitha has a Ph.D. in Managerial Sciences from Georgia State University, Atlanta's Robinson School of Business. Outside of work, she performs and teaches Indian Classical Music and spends time exploring trails with her family.
Overview
Savitha shares her story on how she started in sociology and how she transitioned to a managerial science PhD. Her drive to excel was the key to her own success. She discusses what type of business applications there are for analytics & AI in marketing and what algorithms are used. Algorithms are at the core of marketing campaigns. Through using algorithms, it helps pull together strategy information, measurement & KPI's, and knowing your customers. Savitha explains where to start in your marketing analytics journey and how to be a better data scientist serving marketing business partners.
Social Handles:
LinkedIn: https://www.linkedin.com/in/savitha-namuduri/
Twitter: https://twitter.com/snamuduri
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
In this episode, Chrissie discuss the data sources used for pharmaceutical research and developments, the ethical issues arising with the use of data in the pharmaceutical industry, and what the future of AI looks like in the pharmaceutical industry.
About Christine Fletcher
Chrissie is the Vice President of Development Statistics at GlaxoSmithKline. She leads a group of statisticians supporting the development of new and approved medicines in immunology, hepatology/gastrointestinal, respiratory, cardiovascular, neuroscience, HIV, global health and infectious disease areas. Chrissie has worked in the Pharmaceutical Industry for 30 years and has experience of developing and commercializing new medicines in a variety of clinical disease areas across all phases of clinical development. She previously worked at Amgen in a variety of leadership roles and began her career working at SmithKline Beecham.
Chrissie is actively engaged in statistical societies, pharmaceutical trade associations and initiatives relating to the Pharmaceutical Industry. Chrissie is the Chair of PSI, a Council member of EFSPI, and a member of various European and International Special Interest Groups. Chrissie is a member of the EFPIA Clinical Research Expert Group and is leading the Innovation in Clinical Trials sub team. Chrissie is the lead EFPIA representative for the ICH E9(R1) Working Group, and she is co-leading an EFPIA/EFSPI estimand implementation working group.
Chrissie is a Chartered Statistician of the Royal Statistical Society (RSS). Chrissie has an MSc in Applied Statistics and a BSc (Hons) in Statistics with Management Science Techniques.
Overview
The pharmaceutical industry has had many advancements thanks to data and AI. Chrissie discusses how these advancements have supported the research for vaccines during the pandemic. We spotlight the ethical problems that may arise when using data in the pharmacy industry. From her 30+ years of experience, Chrissie shares her advice for those who are looking to work in the pharmaceutical industry. She closed out the podcast by discussing what most excites her about the future of AI.
Learn more about our mission and become a member here: https://www.womenindata.org/
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Listen in as Hana Khan shares how you can improve your data storytelling. She covers how communicating data has evolved over the past 10 years and her predictions for the future. Your secret weapon when telling a data story, is finding your voice. Hana tells her favorite tools for presenting data and the top 5 tips on how you can present your data confidently. She also has given DataBytes listeners 20% off of her course "Present Data with Confidence". See below for link and code!
Hana has been working in the data field for 7+ years and founded Trending Analytics so she can help data practitioners improve their skills in presenting and visualizing data.
Connect with Hana:
Instagram and Tiktok: @hanalytx
LinkedIn: linkedin.com/in/hanakhan
Course: trending-analytics.com/present-data-with-confidence
Use Code for 20% off: DATABYTES20
Learn more about our mission and become a member here: https://www.womenindata.org/
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In this episode, Diane discusses how the finance industry has changed in the last 20 years due to data and AI. As a CIO, Diane Lye knows what are the essential skills/traits you need to be successful. Learn how you can navigate the continual changing environment of the workforce and set your teams up for success. Diane also shares her journey into the financial industry and what some of the challenges she faced and lessons learned along the way to be successful.
Diane Lye, CIO of Card & Small Business Technology at Capital One. Prior to her role at Capital One, she has held executive positions at Bank of America, Citit Group, and Amazon. Diane also holds a PhD in Demography from the University of Pennsylvania.
Support this podcast: https://anchor.fm/women-in-data/support
Avi Gesser is partner in the Data Strategy & Security practice at Debevoise & Plimpton, a global law firm based in New York. He advises companies on privacy, cybersecurity and artificial intelligence matters, including incident response and data minimization. Avi has represented international financial services firms, private equity firms, hedge funds, and media organizations through large-scale data breaches and AI incidents, including coordinating with law enforcement, responding to regulatory investigations, advising boards and executives on liability issues, and defending against civil lawsuits. Avi is the primary author of the firm’s Data Blog and the architect of the Firm’s Data Portal, an online tool that helps clients quickly assess and comply with their cyber breach notification and AI obligations. From 2010 to 2013, Avi was the Counsel to the Chief of the Justice Department, Criminal Division’s Fraud Section.
Connect with Avi on LinkedIn: https://www.linkedin.com/in/avi-gesser/
Learn more about our mission and become a member here: https://www.womenindata.org/
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Lan Guan is a Senior Managing Director at Accenture and currently leads the Global AI Solutions within Accenture’s Strategy & Consulting domain. In this role she is responsible for working with clients to develop and implement data and AI strategies for their organizations. Lan has spent the last 18 years at Accenture working with Fortune 100 and large multinational clients across industries. As an experienced Strategy & Consulting professional, Lan brings deep expertise in transforming all forms of data into actionable strategies and plans to maximize market opportunities for clients.
Connect with Lan on LinkedIn: https://www.linkedin.com/in/lan-guan/
Learn more about our mission and become a member here: https://www.womenindata.org/
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AI is for everyone. You may not feel like you can total understand the AI world but Gianluca Mauro is here to help! He believes that AI should be accessible to all not just those in the tech world. Gianluca has a vast knowledge of AI and has even founded the AI Academy. (Check the website out below!)
Gianluca Mauro is the author of “Zero to AI”. His mission is to make Artificial Intelligence more democratic, enabling people without a tech background to understand it and use it in their profession. He has taught AI to hundreds of people, ranging from high school students to executives at large multinational corporations.
Article Reference:
https://medium.com/startup-grind/i-reverse-engineered-a-500m-artificial-intelligence-company-in-one-week-heres-the-full-story-d067cef99e1c
Connect with Gianluca:
LinkedIn: https://www.linkedin.com/in/gianlucamauro/?i=emailsignature
Instagram: https://www.instagram.com/gianluca.mauro/?i=email_signature
Blog: https://blog.gianlucamauro.com/?utm_source=emailsignature&utm_medium=email&utm_campaign=emails
Website: www.ai-academy.com
Link to Class: https://school.ai-academy.com/ai4humans
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Up level your leadership skills with Jamie Martin. She is a Life and Leadership Coach who is passionate about helping people who have been going so long they have lost themselves.
Her 17 year career in technology at companies like DoubleClick and Google, combined with intensive coach certification gives Jamie a unique perspective into what it takes to make a significant transformation for her clients.
She has allowed herself to expand beyond industry, career paths, and she continues to do that as a coach. Jamie partners with women in technology to own their voices and build a career that they desire without sacrificing their lives for it.
Leadership can mean different things for everybody. So how do you know if you have authentic leadership? Jamie discusses what authentic leadership looks like for her. Learn the challenges that women leaders face and how you can overcome them. Jamie talks about career shifting from tech into life coaching. She also shares tips on how you can find what you love in your work.
Connect with Jamie:
Instagram: https://www.instagram.com/jamiemartincoaching/
LinkedIn: https://www.linkedin.com/in/jamiemmartin/
Website: www.jamiemartincoaching.com
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Heather Hill is a leader and influencer with over 15 years experience in the business intelligence space. She is actively involved in the analytics community as an international speaker, published author, and SAP mentor.
Heather applies her passion for delivering business intelligence and analytics programs, enabling winning teams and promoting women & minority leaders through her coaching solutions.
Get ready to learn how to be a leader in analytics! Heather shares the need for more women leaders in the space of analytics and how you can evolve yourself into that role.
Connect with her on LinkedIn: https://www.linkedin.com/in/heathersinkwitzhill/
Check out her website: https://www.bisuccesscoach.com/
Learn more about our mission and become a member here: https://www.womenindata.org/
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As the Senior Director for Applied Artificial Intelligence at RelationalAI and an advisor on multiple boards, Michelle Yi specializes in machine learning and cloud computing and has 15 years of experience in technology consulting. She is passionate about diversity, STEM education/careers for our minority communities, and is an avid volunteer with Girls Who Code. She enjoys building teams dedicated to leveraging cutting-edge technologies and techniques to tackle some of the most difficult business and societal challenges.
Are you curious how machine learning is impacting healthcare? In this episode, Michelle discusses the main challenges she see in machine learning and how she is hoping to solve them. She shares what role robotics pay in the world of healthcare. If you are looking to get into data science for healthcare, Michelle talks about her key advice for you!
Connect with her on LinkedIn: https://www.linkedin.com/in/michelleyulleyi/
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Laxmi Anish, the Director of Data Science practice for PepsiCo Data + Analytics organization. She has over 20 years of CPG industry and technology experience; with most of her career spent on building a data driven enterprise through AI/ML based advanced analytics and business intelligence. She is also actively involved in gender equality and diversity at workplace initiatives and has been a core member of Women of Color at PepsiCo. In her current role, she is enabling the company’s strategy of productizing data solutions via delivery of complex global analytics products at scale.
Laxmi discusses how you can change business outcomes through analytics. She shares the tools that her technical team uses to solve problems at Pepsico. When building out her team, she seeks various business and technical roles to help assist her.
Connect with her on LinkedIn: https://www.linkedin.com/in/laxmi-anish/
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Prasanna Poori (Director Data Science for PepsiCo.) joins the Data Bytes podcast to discuss her experience in Data Architecture.
Learn how to design and build a flexible, scalable, and successful data architecture and what do to with old architecture. Prasanna discusses and outlines the best practices for moving your data into the cloud through five points. 1. Hybrid cloud architecture 2. High performing on permanent solutions 3. Parallel and distributed processing 4. Scalability 5. Data accesses. She also shares what are the biggest innovations coming in data architecture. Prasanna actively educates girls in rural areas about science and self development.
About Prasanna:
Prasanna Poori is currently the Director Data Science for PepsiCo. Data + Analytics Organization. She has over 27 years of IT industry experience, especially in data and analytics space. Played multiple roles as solution architecting, program and delivery management. She has deep experience in handling large data management, data warehousing and analytics programs across Manufacturing, Services, Health Care and Banking domains
She believes… as a lead one should become redundant at one point in time to bring their teams to the level of high performing. She treats both success and failure as equal learning opportunities.
Prasanna has done Bachelor of Engineering and Masters in Digital Systems from Osmania University. She lives in Hyderabad, India with her husband and younger daughter. Elder daughter works for MathWorks in US. Prasanna enjoys travel, cooking, painting, Carnatic music... She actively participates in educating girls in rural areas about science and self development.
Connect with her on LinkedIn: https://www.linkedin.com/in/prasanna-poori-30441547/
Learn more about our mission and become a member here: https://www.womenindata.org/
Support this podcast: https://anchor.fm/women-in-data/support
Get ready for some awesome upcoming guests. We can't wait for you to hear it!
Support this podcast: https://anchor.fm/women-in-data/support
Experienced Chief Executive Officer and Board Member with a passion for helping businesses win in the marketplace while growing profitably and achieving change amid order, and order amid change. Possesses the ideal mix of business skills, technology expertise and creativity to lead in today’s rapidly evolving marketplace.
An engaging, decisive and adaptable leader with a demonstrated history of delivering results in the healthcare, insurance, technology, supply chain and consulting industries. Highly skilled in the areas of business strategy development, team building at the leadership level, profitable growth delivery, organizational health, mergers & acquisitions, innovation enablement, customer experience management, cultural empowerment and information technology strategy development.
Focused on leading organizations and driving innovation and change by integrating people, processes and technology while building trust, adding humor and bringing joy.
Social Handles:
https://www.linkedin.com/in/jimmcgrann/
Twitter: @jim_mcgrann
Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
Kate Strachnyi is founder and host of the DataCated conferences, expo, on air. In addition she is a mom of 2, a runner, author of 4 books, and is currently writing a book “Color for Data Storytelling”. She’s also the founder of the DATAcated Academy – delivering training on data visualization best practices. She’s delivered several courses on data storytelling, dashboard techniques and visual best practices. Additionally, Kate is the host of the DATAcated Conference and the DATAcated On Air Podcast. Kate was appointed a LinkedIn Top Voice of Data Science & Analytics in 2018 & 2019.
Social Handles:
Twitter: @datacated_
Instagram: @datacated
Facebook: Kate Strachnyi / DATAcated
Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
Rebecca Krauthamer is the CEO of Quantum Thought, Founder & Chief Product Officer QuSecure , a member of the Editorial Board for the AI Ethics Journal, and a Forbes 30 Under 30.
Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
For some of us, financial and career success does NOT necessarily equal happiness.
And for Lisa Thee, achieving the level of director at a multinational tech company was proving that true.
Simply put, as a working mother and technology company executive, she was on the fast track to burnout.
But in 2018, Lisa did something most others wouldn't...she changed her career focus from one of "success" to significance.
And she never looked back.
For starters, Lisa founded a safety focused software start-up - one which helped scale a leading Cybersecurity AI company to a $40M valuation.
And now, less than 2 years later, she's leading Launch Consulting's Data for Good practice, helping the world's most innovative healthcare, technology, and gaming companies to accomplish some very ambitious goals such as improving digital safety, anti-toxicity, upskilling programs for diverse populations, and applying AI/machine learning for innovation in healthcare.
But it doesn't stop there.
Because as a successful female tech startup founder...
...Lisa is an actively sought after Board of Directors Member (she is a member for 3 Strands Global Foundation and the Sacramento Entrepreneurship Academy)...
...Keynote Speaker, and Consultant…
...and she was named to the Top 100 Human Trafficking and Slavery Disruptors List, and has a TEDx talk coming in 2021 on the topic of "Using AI to disrupt Human Trafficking in the Digital Age".
Last, but certainly not least, Lisa currently serves as an advisory board member for Engineered Medical Solutions, Spectrum Labs, Marketplace Risk, and Humaxa.
Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
Feeling less creative these days? Emily Kennedy talks how to find your purpose to create. Emily is the co-founder and president of Marinus Analytics. Emily is also the podcast host of the “Empower” podcast and a Forbes 30 under 30.
Connect with Emily on LinkedIn: https://www.linkedin.com/in/heyemilykennedy/
Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
What is the future of CDO’s? Join us as Jason Foster, founder and CEO of Cyno-zure, discusses what data means for business. He is leading a data and analytics strategy company and running the CDO hub, he has a lot of insight on the current and future landscape of CDO’s. However, before we dive into where the industry is headed, let's discuss how it’s evolved in the past 10-20 years.
Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
About Saleem:
Saleem brings more than thirty years of global business and technology experience to our clients in the West. Since joining Accenture in 1990, he has worked in more than two dozen countries, with some of the world’s leading brands, across a number of industries. In these roles, he envisioned, designed and executed transformational programs focused on growth strategy, operational efficiency and effectiveness, new product or service launches and emerging technology deployment. As the senior managing director and global head of Growth & Strategy for Accenture’s Communications, Media & Technology (CMT) group, he created and executed Accenture’s strategy for a global portfolio of clients. This included acquiring new businesses and investing in the development of unique solutions that addressed the complex and changing needs of our CMT clients. He also led Accenture’s business with CMT clients in the western United States and Canada, building significant relationships with key communication, high-tech and software & platform clients and establishing one of the largest and fastest growing businesses at Accenture.
Building a workplace that promotes equality, diversity and inclusiveness is a top priority for Saleem. He believes that the diversity of our people drives innovation and value for our clients and increases the positive impact we create in the communities where we live and work. He is passionate about attracting and retaining top talent and helps to create opportunities for diverse individuals who come from nontraditional career paths and academic backgrounds. Building next generation skills and talent is also an important area of focus, and Saleem is working with his leadership team to establish programs that enable future leaders with the right foundational skills for long-term career development and success. He drives community impact through his role on the Bay Area Council Executive Committee.
Client executives look to Saleem for advice on everything from business and digital transformation to operational efficiency and effectiveness through process automation and outsourcing. He is currently working with researchers and other business leaders to define the future of work and the skill requirements of a post-pandemic world. Saleem is helping clients understand the impact of industry convergence and how they need to transform their businesses to win against an entirely new breed of competitor. He is also working with clients to maximize their returns from investments in cloud, data and security initiatives and to leverage the platforms and capabilities of innovative new startup partners in Silicon Valley.
Saleem holds a degree in Business Administration and Computer Science and an MBA, all from the Schulich School of Business in Toronto. He lives in the Bay Area with his wife and three children. Outside of work, Saleem enjoys cricket, skiing and making the most of the beautiful California outdoors.
Connect with Saleem on LinkedIn: https://www.linkedin.com/in/saleem-janmohamed/
Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
How do you build a high performing team for data and advanced analytics? Arnab Chakraborty, Applied Intelligence North America Lead at Accenture AI, answer this question and shares the components of a strong team.
Connect with Arnab on LinkedIn: https://www.linkedin.com/in/arnab-chakraborty-saratoga/
Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
Learn what role has technology and particularly data, played in changing the way we think about transformation.
About Stacy:
Stacy is a Senior Managing Director in Accenture leading our US West Strategy and Consulting business which is a significant component of our West business and Accenture’s new growth model. Prior to this she led Accenture’s North America Talent & Organization business. Based in San Francisco, she has focused on organization strategy and transformation for the past 19+ years. She has worked globally, across a multitude of client situations and industries, integrating real-world experience with recognized approaches to coach the C-Suite and help clients drive transformational agendas to unlock the potential of their organizations, people and technology.
Stacy has designed, led and successfully implemented strategies in the areas of enterprise and digital transformation, talent and HR, finance, operations, marketing, and client services. She has also led numerous clients across a variety of industries in transformational and post-merger integration situations.
Stacy is a sought-after speaker on the topic of the Future of Work in Healthcare and has led our Global point of view in this space given the in-Industry impacts of automation and digital.
Prior to Accenture, she was the CEO of HCG, an organization consultancy specializing in the assessment, alignment and transformation of strategy, corporate culture and leadership.
She received her BS Degree, University of San Francisco, Organizational Behavior. Stacy is also a California Bay Area native and resides in the Bay Area with her Husband and two daughters.
Connect with her on LinkedIn: https://www.linkedin.com/in/stacy-blanchard-4254806/
Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
About Samta Kapoor:
Rapid digital acceleration means focus on data and AI/ML is now, without question, the cornerstone of global leadership. With more than 12 years’ experience driving large-scale digital transformations, I’m passionate about helping organizations use data/AI/ML to innovate, create new products and services, and optimize business processes.
As a managing director in Accenture’s Applied Intelligence (Strategy & Consulting) practice, my focus is on achieving the extraordinary – finding new ways to overcome the most complex challenges by harnessing the power of data, artificial intelligence, and machine learning.
Leading Accenture’s Applied Intelligence Resources West business, I bring technical skills, business experience and industry insight to help our clients in this industry to achieve their strategic goals, master change, and shape a better future in a fast-changing environment.
I&D is very close to my heart and I lead our AAI West I&D team and initiatives.
Connect with her on LinkedIn: www.linkedin.com/in/samtakapoor
Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
In this episode we answer these questions:
- What does thinking of data science as a product look like? And how is this different from traditional thinking about data science?
- What does the future of data science look like?
About Eric:
Eric is the Head of Experimentation, Economic Insights and Metrics at Yelp and has worked in senior leadership and individual contributor roles at Yelp, LinkedIn and CoreLogic after an academic career as an assistant professor.
He is the author and editor of the weekly newsletter called "From Data to Product" focused on data product management and thinking about data science as a product. You can subscribe here: https://ericdataproduct.substack.com/
Connect with Eric on LinkedIn: https://www.linkedin.com/in/eric-weber-060397b7/
Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
Your LinkedIn profile holds a lot of potential for you. Whether it's job offers, networking opportunities, or building your business, LinkedIn is a key component. So are you optimizing your LinkedIn? Find out from a LinkedIn Coach how you can get the most out of your LinkedIn profile.
About Louise:
Louise Brogan works with entrepreneurs, SME’s and professionals who want to raise their profile through LinkedIn in a genuine and valuable way.
Louise is an international speaker, writes for Social Media Examiner and hosts the LinkedIn with Louise Podcast. She lives at home with her husband, three children and an energetic spaniel called Bruce.
In 2019, Louise was invited to attend No 10 Downing Street to represent small business and annually attends the House of Lords as one of 12 UK Local Heroes for Business. In 2021, Louise was named a Small Business Britain Champion.
Connect with her on LinkedIn: https://www.linkedin.com/in/louisebrogan/
Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
Ciara Anderson is a conversational engineer working in the design and development of conversational agents in the fields of chat and voice. She has taught Linguistics at UC Davis and also has a PhD in Linguistics from Trinity College Dublin, and specializes in Harnessing conversational AI tools to design and develop conversational agents in the field of chat and voice.
Social Handles:
https://www.linkedin.com/in/ciara-anderson-phd-a892618b/
IG: @coding.linguist
Twitter: @coding_linguist
Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
Mary MacCarthy is a Data Journalist, Strategist and Analyst based in Los Angeles.
Connect with her on Linkedin: https://www.linkedin.com/in/mary-maccarthy/Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
Rodi is a passionate technical leader with a remarkable track record of transforming organizations via data and automation at diverse and decentralised Fortune 500 companies. She is valued for improving operational efficiency, providing insights and thought leadership, introducing game-changing analytics and automations, and developing data citizens. Rodi has extensive success in cross-functional collaboration and influence, including building, training, motivating, and leading the industry’s brightest new stars.
Education: The Ohio State University, BS and MS degrees in Computer Science and Engineering
Today, Rodi is taking a much-need professional and personal sabbatical. She joined WiD earlier this year and has been an enthusiastic participant in the community.
Connect with Rodi on Linkedin: https://www.linkedin.com/in/rodi-tountcheva/Learn more about our mission in diversifying data careers and become a member here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
Irene Bratsis is an NYC based data scientist, AI practitioner and community builder.
She has spent 12+ years in the private sector working for various tech companies and she writes for Data Driven Investor, Analytics Vidya, Towards Data Science, An Injustice, CodeX, MLearning.ai, Women in Data Blog & Gesture Blog
She currently works as a data science product manager at Beekin, is the co-lead of the Boston and NYC chapters of Women in Data, works as a project director for the US in the Women in AI Awards North America, and manages the Women in Data book club.
Social Handles:
https://www.linkedin.com/in/irenebratsis/
Learn more about our mission in diversifying data careers here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support
Danielle is an experienced statistician with over 10 years of advanced, multidisciplinary data analysis experience. She is the Head of Data Science and Co-Founder of Quotient.
Connect with her on Linkedin: https://www.linkedin.com/in/danielle-k-dur%C3%A1n-85136726/
Learn more about our mission in diversifying data careers here: womenindata.org
Support this podcast: https://anchor.fm/women-in-data/support