Sunishchal Dev is a lead data scientist at Booster. He’s helping to decarbonize the transportation industry by optimizing last mile delivery of renewable fuels. Previously, he was a management consultant. On the side, he volunteers with Project Drawdown to model the most effective solutions to climate change. He is also a mentor of future data scientist as a springboard by guiding them through real world projects. We talked about his career journey, supply chain optimization, how data science can help the environment.
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Books recommended:
The Pyramid Principle: Logic in Writing and Thinking
The Book of Why: The New Science of Cause and Effect
Influence, New and Expanded: The Psychology of Persuasion
Dev’s Linkedin:
Highlights:
0:00 Intro
00:01:24 from business to data science
00:06:36 the big impact of a small improvement
00:08:50 data engineering vs predictive modeling
00:11:48 routing optimization
00:16:27 time series model
00:21:32 use upsampling to simulate intermittent time series problem
00:26:20 his modern data stack
00:28:29 collaborate with engineers
00:30:06 common mistakes people made in building time series model
00:37:02 collaborate with truck drivers
00:40:17 how to become a good communicator
00:46:30 his experience in mentoring data scientist
00:51:14 things people cannot learn at school
00:53:16 the mistakes he made and the things he learnt from his mentor
00:56:07 how data science can help the environment
By: The Data Scientist Show – Daliana Liu
Title: Time series in supply chain, talk like a McKinsey consultant-Sunishchal Dev-theDataScientistShow048
Sourced From: www.youtube.com/watch?v=5U95qkYTPgo
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