Adam November is a data scientist with 12 years of experience translating petabytes of behavioral data into product and business insights using SQL, Spark, Python, and R. He has driven measurement and experimentation work at Fanatics after building quantitative analytics for YouTube at Google, bringing a blend of academic rigor from a PhD in Cognitive Psychology and hands-on production analytics. His background in customer insights across entertainment and gaming firms informs a user-centered approach to modeling and metric design. Based in San Francisco but with creative roots as a musician and educator in Brooklyn, he pairs technical depth with strong communication and teaching skills. Colleagues rely on him to bridge research-grade methods and scalable data engineering to answer high-impact product questions. An unexpected strength is his ability to teach complex quantitative concepts clearly, honed through prior tutoring and instructional roles.
11 years of coding experience
5 years of employment as a software developer
BA, Psychology, Cognitive Studies, BA, Psychology, Cognitive Studies at Cornell University
PhD, Cognitive Psychology, PhD, Cognitive Psychology at Stanford University
Contributions:7 commits, 5 pushes, 2 branches in 8 days
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