Summary
Sam Whitehill is a Senior Data Scientist with nine years of experience combining hands-on software development and machine learning to solve real-world risk and underwriting problems. He has built production-ready models across image classification (including a CNN to spot distressed buildings), NLP topic models, and GLM pricing, and has applied them to increase revenue, reduce premium leakage, and improve risk segmentation. Comfortable across Python ML stacks and legacy enterprise languages (C#, Java, MATLAB), he bridges finance and insurance domain expertise with rigorous model documentation and QA. Recent work includes wildfire risk modeling on multi-million record datasets and prompt engineering for LLM benchmarks, reflecting a knack for both scalable pipelines and emergent AI evaluation. Based in Los Angeles, he pairs quantitative programming roots from finance with pragmatic product-driven experimentation, often surfacing business impact beyond model accuracy.
9 years of coding experience
24 years of employment as a software developer
Nanodegree, Machine Learning Engineering, Nanodegree, Machine Learning Engineering at Udacity
Bachelor of Science, Commerce; Finance and Management Information Systems, Bachelor of Science, Commerce; Finance and Management Information Systems at UVA McIntire School of Commerce