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