Show Notes (2:20) Pier shared his college experience at the University of Southampton studying Electronic Engineering. * (3:46) For his final undergraduate project, Pier developed a suite of games and used machine learning to analyze brainwaves data that can classify whether a child is affected or not by autism. * (11:26) Pier went over his favorite courses and involvement with the AI Society during his additional year at the University of Southampton to get a Master’s in Artificial Intelligence. * (13:40) For his Master’s thesis called “Causal Reasoning in Machine Learning,” Pier created and deployed a suite of Agent-Based and Compartmental Models to simulate epidemic disease developments in different types of communities. * (26:51) Pier went over his stints as a developer intern at Fidessa and a freelance data scientist at Digital-Dandelion. * (29:21) Pier reflected on his time (so far) as a data scientist at SAS Institute, where he helps their customers solve various data-driven challenges using cloud-based technologies and DevOps processes. * (33:37) Pier discussed the key benefits that writing and editing technical content for Towards Data Science to his professional development. * (36:31) Pier covered the threads that he kept pulling with his blog posts. * (38:50) Pier talked about his Augmented Reality Personal Business Card created in HTML using the AR.js library. * (41:12) Pier brought up data structures in two other impressive JavaScript projects using TensorFlow.js and ml5.js. * (44:19) Pier went over his experience working with data visualization tools such as Plotly, R Shiny, and Streamlit. * (47:27) Pier talked about his work on a chapter for a book called “Applied Data Science in Tourism” that is going to be published with Springer this year. * (48:37) Pier shared his thoughts r*egarding the tech community in London. * (49:19) Closing segment.

Pier’s Contact Info* Website * LinkedIn * Twitter * GitHub * Medium * Patreon * Kaggle

Mentioned Content* “Alleviate Children’s Health Issues Through Games and Machine Learning” * “Causal Reasoning in Machine Learning” * Andrej Karpathy (Director of AI and Autopilot at Tesla) * Cassie Kozyrkov (Chief Decision Scientist at Google) * Iain Brown (Head of Data Science at SAS) * “The Book Of Why” (By Judea Pearl) * “Pattern Recognition and Machine Learning” (by Christopher Bishop)