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Time series modeling in supply chain, how to master business communication, save the environment with data science - Sunishchal Dev - the data scientist show048
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. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
(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
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
View all episodes
By Daliana Liu
4.7
7575 ratings
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. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu/
Daliana's Twitter: https://twitter.com/DalianaLiu
(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
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
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