Infinite Machine Learning

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

May 22, 2022 Prateek Joshi
Infinite Machine Learning
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
Show Notes

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