Summary
Andrew Bates is a Machine Learning Engineer with eight years of experience applying statistics and engineering to help teams make data-driven decisions, currently building player-evaluation tooling for soccer clubs at Teamworks. A master’s in statistics from San Diego State underpins his strong R and SQL expertise, while pragmatic Python and web-development skills let him turn models into usable front-end experiences and operational data pipelines. He has a track record in pharma analytics—delivering Shiny apps and contributing to the Teal framework—and in banking where he automated forecasting pipelines and developed internal R packages. Before tech, he served in the U.S. Navy’s nuclear program, bringing disciplined process, audit experience, and radiological-safety supervision to complex, high-stakes environments. Colleagues rely on him to bridge data science and engineering, shipping tools that make analytic insights actionable for end users.
8 years of coding experience
6 years of employment as a software developer
University of California, San Diego
Master of Science - MS Statistics, Master of Science - MS Statistics at San Diego State University
Chancellor's Scholar Applied Mathematics, Chancellor's Scholar Applied Mathematics at UC San Diego Chancellor's Associates Scholars Program