Summary
Forest Polchow is a data scientist based in San Francisco with nine years of experience blending quantitative rigor and applied machine learning. He holds advanced degrees across computer science, education, and economics—from University of Illinois Urbana-Champaign, Fordham, and Northwestern—giving him a unique lens for translating complex models into teachable insights. Trained at Galvanize's Data Science Immersive, he is comfortable across the data lifecycle, from feature engineering and model development to communicating results for stakeholders. Forest’s background in teaching and economics suggests a strength in explainability and impact-driven analytics, not just algorithmic accuracy. Though his public GitHub footprint is minimal, his cross-disciplinary education and prolonged industry tenure point to a practitioner who values clear reasoning and practical solutions.
9 years of coding experience
High School Diploma, High School Diploma at Metairie Park Country Day School
Data Science Immersive, Data Science Immersive at Galvanize Inc
Bachelor's Degree, Economics, Bachelor's Degree, Economics at Northwestern University
Master of Science (M.S.), Teaching, Master of Science (M.S.), Teaching at Fordham University
Master's degree, Computer Science, Master's degree, Computer Science at University of Illinois Urbana-Champaign