Kyle Mcmillan
Principal Data Scientist
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolKyle Mcmillan is a Principal Data Scientist with a decade of experience applying machine learning, statistics, and simulation to forecasting and network planning at scale, currently leading data science work at Amazon in Seattle. He combines a strong academic foundation—a PhD in Biomedical Physics and prior research in Monte Carlo dose estimation—with hands-on production experience across numerical, textual, and image data. His background spans healthcare imaging research and supply-chain analytics, where he translated complex domain problems into deployable predictive models and recommendations. At Amazon he’s worked both as an individual contributor and manager, building forecasts that inform long-, medium-, and short-term operational decisions. Kyle’s uncommon pairing of radiological physics expertise and production ML skills gives him a unique edge in principled uncertainty quantification and simulation-driven forecasting.
10 years of coding experience
11 years of employment as a software developer
M.S.E. Nuclear Engineering and Radiological Sciences, M.S.E. Nuclear Engineering and Radiological Sciences at University of MichiganUniversity of California, Los AngelesGithub contributions (5)
klmcmillan/fantasy_football
Oct 2016 - Oct 2016
Contributions:21 commits, 27 pushes, 1 branch in 22 days
klmcmillan/image_classification_sandbox
Oct 2016 - Oct 2016
Contributions:22 pushes, 1 branch in 1 day
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