Posted On January 1, 2022
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
Learn more about data science and stay up to date with the podcast by connecting with us on LinkedIn.
https://www.linkedin.com/school/buffalo-state-data-science-and-analytics-dsa/
Interested in a career in data science? Visit
https://dataanalytics.buffalostate.edu/ to learn more.
A special thank you to all the members of the Podcast Committee:
Brian Barrey, Podcast Committee Chair
Heather Campbell
Mohammad Haque
Kimberley Herrington
Barbara Olsafsky
Eric Walker
Karl Wende