Harsh Gupta is an analytics-driven fintech strategist with 8 years of experience applying statistical and quantitative modeling to payments risk and product strategy. Now an Associate Principal at Google, he focuses on LLM and agentic AI applications in payments, translating advanced ML capabilities into practical risk and decision frameworks. His background includes building risk policies and strategy at PayPal and early-career decision science work at Mu Sigma, giving him a strong blend of applied analytics and business judgment. Trained in engineering management at Northeastern and electrical engineering at Nagpur University, he pairs technical rigor with cross-functional leadership. Colleagues describe him as someone who moves quickly from model insights to executable policy, often surfacing operational constraints that data alone might miss.
8 years of coding experience
2 years of employment as a software developer
Rashtrasant Tukadoji Maharaj Nagpur University
Master’s Degree Engineering Management, Master’s Degree Engineering Management at Northeastern University
This is an ongoing project based on a research study to analyze the retail, residential electricity prices in the US as part of Undergraduate Research Apprenticeship Program (URAP) (Meredith Fowlie and Jenya Kahn Lang) at University of California, Berkeley.
Contributions:1 release, 174 commits, 154 pushes in 9 months
Inventory web application written in Python back-end and JS, built on Flask microservice. The app includes CRUD features. Barcode scanning feature has also been added to make a direct entry to Current Stock database.
Contributions:2 commits, 14 pushes in 7 months
inventorymicroservicepythonflaskweb-application
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Harsh Gupta - Associate Principal, Strategy And Analytics