Zach Keller on recommerce, circular shopping, carbon footprint, economics, how do incentives work in marketplaces, push bucket vs pull bucket, machine learning tools, building data science culture
Publisher |
Prateek Joshi
Media Type |
audio
Categories Via RSS |
Technology
Publication Date |
May 23, 2022
Episode Duration |
00:34:08

Zach Keller leads the data science team at Trove, a white label platform that supports resale as a channel for the world's most beloved brands. He has worked as a data scientist and machine learning engineer, building machine learning systems that operate at scale. He's been in industries such as manufacturing, finance, and re-commerce. At Trove, he focuses on growing and mentoring the data science team. He lives in Dallas with his wife and dog.In this episode, we cover a range of topics including:- His journey into data science- What is Recommerce- How does circular shopping work- Carbon footprint in ecommerce- How is machine learning used in ecommerce- How should new entrants evaluate what you like within data science- The role of mathematics in learning ML- The role of economics in ecommerce and marketplaces- How incentives work in marketplaces- Push bucket vs pull bucket- How to build good data science culture

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