Patrick Russell is a Staff Data Scientist with 14 years of experience applying analytics, technology, and marketing to drive measurable business impact. He has built end-to-end data products—from predictive lead conversion and churn models to recommendation engines and attribution systems—across startups and e-commerce businesses, most recently at MagicSchool AI and previously as Principal Data Engineer at The Pro's Closet. A co-founder and former COO of a health startup, he combines product intuition and operational rigor with deep hands-on skills in Python, Spark, AWS, and modern experimentation platforms. Patrick is fluent in survival analysis, BG/NBD CLV modeling, and production ML tooling, and he’s continuously expanding into serverless, neural networks, and functional languages like Clojure. Based in Denver with a BS in Mathematics, he brings a marketer’s sensibility to data work—focusing on actionable insights that improve efficiency, creativity, and revenue outcomes. An autodidact by nature, he pairs a long track record of practical implementations with ongoing curiosity about emerging AI and infrastructure patterns.
13 years of coding experience
17 years of employment as a software developer
BS, Mathematics, BS, Mathematics at Regis University
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