Timothy Sweetser
Machine Learning Engineer at StubHub
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolTimothy Sweetser is a machine learning engineer in New York with 11 years of experience building production ML and personalization systems across entertainment, retail, and fashion. He has driven measurable business impact—most notably $8M/year uplift at Stitch Fix—by developing recommender systems, Bayesian contextual bandits, and causal-inference-driven experiments. At Warner Bros. Discovery and StubHub he focused on personalization science and engineering, and earlier roles at Rent the Runway and FINDMINE honed his expertise in outfit curation and retail recommendations. Comfortable across the stack, he builds end-to-end pipelines in SQL, Python and R, deploys with AWS, Docker and Jenkins, and emphasizes robust engineering practices like testing, logging, and error handling. With an M.S. in Statistics from Stanford and a background in mathematics and physics, he blends rigorous quantitative thinking with product-minded experimentation. He often translates research into production-ready systems and occasionally publishes engaging data-driven analyses for product and consumer insights.
11 years of coding experience
9 years of employment as a software developer
B.A. Mathematics Physics, B.A. Mathematics Physics at Clark UniversityM.S. Statistics, M.S. Statistics at Stanford University
French, Spanish
Stackoverflow
91reputation
22kreached
5answers
0questions
Github Skills (54)
python10
data-science10
image-processing10
image10
statistics10
machine-learning10
scikit-learn10
computer-vision10
refactoring10
data-analysis10
solver9
scikit9
linter9
r-package7
hierarchical7
Programming languages (6)
Github contributions (5)
hacktuarial/hacktuarial.github.io
Apr 2017 - Oct 2024
Contributions:31 pushes, 1 branch in 7 years 7 months
hacktuarial/maximum-awesome
Oct 2017 - Apr 2024
Contributions:11 pushes in 6 years 6 months
vimtmuxneovimconfigdotfiles
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