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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By Prateek Joshi
4.9
88 ratings
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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