Toby Petty is a Senior Data Scientist based in New York with a decade of experience building production ML systems, running causal inference via online experiments, and extracting insights from web-scale datasets across technology, education, finance, real estate, and public sectors. He combines academic rigor from a UC Berkeley MS in Data Science with hands-on Python engineering and a track record of shipping data products at companies like 2U and Auriemma Roundtables. Toby has taught Machine Learning at Scale at UC Berkeley, signaling strength in both applied research and clear technical communication. His background spans analytics, software and database management, and business performance—enabling him to translate business problems into robust, deployable models. Colleagues rely on him for experiments that drive measurable product decisions and for building scalable, production-ready pipelines. He brings an uncommon blend of domain versatility and instructional experience that accelerates team capability beyond pure modeling.
10 years of coding experience
15 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of California, Berkeley
12 week intensive course, Data Science, 12 week intensive course, Data Science at General Assembly
University of California, San Diego
Bachelor's degree, American History (United States), 2:1, Bachelor's degree, American History (United States), 2:1 at The University of Sheffield
Contributions:22 commits, 28 pushes, 1 branch in 3 years 9 months
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