Summary
Theodore Van Rooy is a Principal Data Science Consultant with 14 years of experience applying machine learning, causal inference, and optimization to problems across retail, advertising, finance, energy, and security. He has led teams and shipped production ML systems at Amazon and A.Team, driving measurable business impact—examples include a 63x information-gain improvement in polling data and double-digit revenue uplifts from pricing and recommendation models. Theodore blends deep quantitative skills (MS in Applied Mathematics) with practical engineering—R, Python, AWS, Torch and full-stack deployment—to move research into production. He has a track record of building algorithmic pricing and RL frameworks, large-scale forecasting/transport optimization that saved millions, and high-performance parallel model pipelines for trading. Based in Lafayette, Colorado, he thrives on finding non-obvious patterns in messy data and turning them into deployable, bottom-line improvements. Colleagues describe him as equally comfortable inventing entropy-minimization techniques as mentoring teams to adopt repeatable scientific review and production practices.
14 years of coding experience
14 years of employment as a software developer
BA Math Philosophy, BA Math Philosophy at University of St. Thomas (TX)
MS Applied Mathematics, MS Applied Mathematics at University of Colorado Boulder