Calvin Garner
Applied Science Manager at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolCalvin Garner is an applied science manager at AWS with eight years of experience turning causal-inference and Bayesian research into production-ready ML systems. He blends academic rigor from a PhD in political science with hands-on engineering—Python, R, SQL, Spark and robust ETL/unit testing practices—to move projects from prototypes to scalable services. Known for mentoring junior scientists and navigating cross-functional teams, he regularly presents complex results to VP and C-level stakeholders across tech, government, and NGOs. His background in public opinion research, experiments, and text analysis informs pragmatic research designs (including MRP/IRP weighting and meta-analysis) that prioritize actionable insight. An uncommon strength is his track record applying political science methods to large-scale industry problems, bridging scholarly methods and production constraints.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Political Science, Doctor of Philosophy - PhD Political Science at University of WashingtonMaster of Arts (M.A.) International Affairs, Master of Arts (M.A.) International Affairs at Elliott School of International AffairsBachelor of Arts (B.A.) Political Science Russian, Bachelor of Arts (B.A.) Political Science Russian at Middlebury College
Russian, SpanishGithub contributions (4)
jrnold/qss-tidy
Jan 2018 - Feb 2018
Contributions:26 commits, 21 pushes, 11 comments in 1 month
UW-POLS501/2018
Jan 2018 - Feb 2018
Contributions:6 pushes, 3 comments, 5 issues in 1 month
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