Keith O'hara
Senior Economist - Advertising at Amazon
New York, New York, United States
Summary
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Senior🎓
Top SchoolKeith O'hara is a Senior Economist at Amazon with 12 years of experience applying econometrics, Bayesian statistics, and numerical optimization to advertising, supply chain, and cloud economics. He holds a PhD in Econometrics and Quantitative Economics from NYU and pairs rigorous academic training with production-grade C++ and high-performance computing skills. At Amazon he has moved between AWS, Grocery Supply Chain, and Global Media teams, building scalable forecasting and optimization systems that inform corporate development and advertising strategy. An active open-source contributor, he maintains OptimLib, a lightweight C++ optimization library where he implemented and tested advanced nonlinear solvers like Broyden methods. Known for blending deep theoretical knowledge with practical engineering, he thrives on turning complex econometric models into robust, production solutions.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Econometrics and Quantitative Economics, Doctor of Philosophy - PhD, Econometrics and Quantitative Economics at New York UniversityBachelor's degree, Economics, Bachelor's degree, Economics at University College Dublin
Github Skills (11)
algorithm10
numerical-optimization10
algorithms10
c-language10
eigen10
cprogramming-language10
numerical-methods10
optimisation10
optimizers10
optimization10
armadillo9
Programming languages (3)
Github contributions (5)
kthohr/optim
Jun 2017 - Oct 2022
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 299 commits, 7 PRs in 5 years 5 months
Contributions summary:Keith primarily worked on the OptimLib C++ library, specifically focusing on numerical optimization methods for nonlinear functions. Their contributions included implementing and updating the Broyden method for solving nonlinear equations, as well as the development and updating of various supporting functions and related tests. The code modifications spanned several files within the source, include, and test directories, indicating a focus on improving the library's functionality and testing its robustness.
optimization-methodsoptimization-algorithmsnonlinear-optimizationautomatic-differentiationarmadillo
TraME-Project/auction
Dec 2017 - Sep 2018
Contributions:26 commits, 25 pushes, 1 branch in 9 months
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