Buffalo State Data Talk

Episode 1: Automation in manufacturing, how human interactions fit with data, an interview with Achintya Pillai from Panasonic/Tesla in Buffalo

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August 1, 2020
Buffalo State Data Talk
Episode 1: Automation in manufacturing, how human interactions fit with data, an interview with Achintya Pillai from Panasonic/Tesla in Buffalo
 
Summary: Episode 1 features Achintya Pillai, a data scientist who worked for Panasonic at the Tesla Giga factor in Buffalo. Achintya talks about his experience working as a data scientist in manufacturing including how automation can reduce human error. We also learn about his journey to becoming a data scientist and his advice for those who want to follow the same path.
0:00 Introduction 
0:50 Day-to-day schedule of a manufacturing data scientist 
3:53 Achintya’s journey to become a data scientist 
5:01 Important skills data scientists should develop 
6:53 Example of a data scientist team, their roles, and the work that they do 
11:52 The most challenging part of being a data scientist 
14:45 Interesting data science challenges in manufacturing – manufacturing 4.0 
19:58 The future of data science 
21:22 The interdisciplinary nature of data science 
22:55 Advice for future data scientists 
24:39 Outro 
 
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Buffalo State Data TalkBy Buffalo State Data Science and Analytics