Summary
Derek Topper is a data scientist with nine years of experience applying machine learning and analytics to sports and business problems, currently driving analytics at Swish Analytics in the New York City area. He has built player projection and valuation models for top baseball agencies and contributed to research and operations at MLB and NBA franchises, using Python, R, SQL and XGBoost to turn messy sports data into decision-ready insights. Derek combines hands-on ETL, model development, and automated reporting with a track record of impacting on-field performance, ticket revenue, and talent evaluation. He founded and led the Sports Analytics Group at Berkeley, growing it into a 100+ member program that partnered with professional teams and produced dozens of research projects. Trained at UC Berkeley (BS and MIDS coursework), he also designs curricula and teaching materials, reflecting a knack for translating complex methods into clear learning experiences. Outside pro sports work, he blends revenue modeling and fan analytics experience from stints with major teams to deliver cross-functional, business-focused data science.
9 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Data Science, Bachelor’s Degree, Data Science at University of California, Berkeley
High School, High School at Long Beach High School
Certificate, Political Science and Government, Certificate, Political Science and Government at Georgetown University School of Continuing Studies
Johns Hopkins University
Certificate, Mathematics, Certificate, Mathematics at Williams College
Master of Information and Data Science, Data Science, Master of Information and Data Science, Data Science at UC Berkeley School of Information
Certificate, Tropical Medicine and Ethnobiology, Certificate, Tropical Medicine and Ethnobiology at Duke University
English, Spanish