Summary
Andrew Gele is a Senior Data Scientist with a decade of experience translating data into operational impact at Fannie Mae, where he built a stacked ML model that improved loan policy review performance tenfold. He blends hands-on modeling, production tooling (including an R Shiny app for experimental vetting), and teaching—updating time-series curriculum and mentoring interns and new associates. Based in Rockville, Maryland, he focuses on practical solutions that prioritize insight over answers, designing selection strategies grounded in statistical likelihoods rather than intuition. His background in marketing analytics and cross-functional experience in benefits and customer service give him a pragmatic, user-focused approach to data problems.
10 years of coding experience
5 years of employment as a software developer
Master of Science (M.S.), Master of Science (M.S.) at University of Maryland - Robert H. Smith School of Business
The University of Maryland, College Park
Japanese, English