Prasoon Shukla is a Data Scientist at Stripe, where he focuses on optimizing payment flows and reducing fraud on a platform that moves money at massive global scale. His work sits at the intersection of machine learning and financial infrastructure, applying statistical modeling and data-driven decision making to problems where accuracy, latency, and trust all matter at once.

Before joining Stripe, Prasoon built machine learning systems across both fintech and traditional finance, developing credit, identification, forecasting, and anomaly detection models. Working on both sides of the financial world gave him an end-to-end perspective on the data lifecycle, from raw transactions to production risk models. He is particularly interested in the practical challenges of applied machine learning: designing robust features, validating models against real-world drift, and shipping systems that hold up under adversarial pressure.