Consulting

I take consulting assignments on occasion. I’ve delivered successful results in the following domains. If you’d like to work together in any of the following areas, please reach out for more information by filling out this form:

Baseball research and analysis

My most recent public-facing work can be found in my baseball research newsletter Baseball IQ, but I’ve also written some things on this blog. I built and manage the popular pybaseball Python package, worked on Statcast for MLBAM, and have helped several teams to improve ticketing revenue by building upsell and renewal-focused lead scoring models.

AdTech

I built a major publisher’s adtech data ecosystem and spent time working for Google’s Ad Exchange (AdX) before that. I’m an expert in yield optimization, DFP log-level data, and programmatic auction optimization. Most of my past work in this domain is private but I did some public-facing analysis using my own data here.

Recommendation systems

I’ve worked on a variety of recommeder systems problems, including but not limited to:

• Multi-armed bandit and contextual bandit algorithms
• Collaborative filtering
• Feature store and feature pipeline creation
• Traditional supervised learning approaches
• Metric definition, performance evaluation, an AB testing different algorithms

To reach out and learn more, please fill out this form.