Scott Cohn is an AI & Data manager at EY with 11 years of experience translating complex analytics into enterprise-scale products and programs. He builds 0→1 solutions and scales mature offerings, having led cross-functional teams of data engineers, scientists, and web developers while shaping strategic partnerships with Databricks and Microsoft. Scott has driven high-impact engagements—from a $100M-plus inventory prediction project to leading aerospace startup product builds—and routinely presents to C-suite stakeholders to align technical roadmaps with business outcomes. A Databricks Champion with a master’s in economics and a background in complex-systems research at the Santa Fe Institute, he blends rigorous quantitative thinking with pragmatic delivery. Colloquially a “quantitative astrologist” on GitHub, he brings curiosity and a playful analytical lens to tough data problems.
11 years of coding experience
6 years of employment as a software developer
Master's degree Economics, Master's degree Economics at The University of Texas at Austin
Bachelors of Science Economics and Mathematics (Statistics) B.S., Bachelors of Science Economics and Mathematics (Statistics) B.S. at University of Massachusetts Amherst
Contributions:36 pushes, 1 branch in 1 year 3 months
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