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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

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Manage episode 339608911 series 3012777
Content provided by Daliana Liu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daliana Liu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

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

  continue reading

93 episodes

Artwork
iconShare
 
Manage episode 339608911 series 3012777
Content provided by Daliana Liu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daliana Liu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

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

  continue reading

93 episodes

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