Forrest Mcdougal is a Senior Data Scientist and team lead based in Raleigh, NC, with eight years of experience applying machine learning and statistical modeling across healthcare, retail, and telecommunications. He has led production ML lifecycles at scale—building real-time call-tagging APIs and managing models that analyze over a billion records per day for scam and nuisance detection. At Dillard’s he built an enterprise forecasting framework producing 300+ million SKU/store forecasts weekly and implemented MLOps and ETL tooling to automate formerly manual processes. Trained as a medical physicist at Duke, he brings a strong quantitative background and hands-on systems engineering experience from designing CT scanner components to running Monte Carlo simulations. Forrest combines domain rigor from medical physics with practical production expertise, and is particularly skilled at turning noisy, mislabeled data into reliable models and stakeholder-ready insights.
7 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Biological Physics, Bachelor's degree, Biological Physics at University of Central Arkansas
Master's degree, Medical Physics, Master's degree, Medical Physics at Duke University Graduate School
Certificate, Data Visualization Bootcamp, Certificate, Data Visualization Bootcamp at University of North Carolina at Chapel Hill
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Forrest Mcdougal - Senior Data Scientist - Team Lead