Summary
Eugene Pyatigorsky is a Principal Technical Advisor and founder with 10+ years building full-stack data science solutions across retail, software, and investment banking, pairing Wharton-trained business rigor with hands-on engineering. He prioritizes measurable ROI over flashy algorithms, rapidly prototyping MVPs, running small-scale experiments, and delivering maintainable analytics-as-a-service via web apps and automated reports. Eugene’s playbook mitigates the three biggest analytics risks—usefulness, correctness, and maintainability—through economic-first problem scoping, test-driven development, automated data pipelines, and peer-reviewed, version-controlled code. Comfortable across R, Python, SQL, AWS, Spark, Shiny and ML platforms like H2O, he translates complex uncertainty into optimized resource decisions that reduce cost and improve acquisition and retention. Based in Cincinnati, he blends consulting and product instincts from roles at Kroger, Luxottica and in military and federal projects, often choosing the simplest deployable model that proves value quickly.
10 years of coding experience
13 years of employment as a software developer
BA, BA at University of California, Berkeley
Master of Business Administration (M.B.A.), Master of Business Administration (M.B.A.) at University of Pennsylvania - The Wharton School
Russian