Description

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 regarding 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)

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