Priya Venkat is a Distinguished Data Scientist Director based in San Francisco with 12+ years of experience (and over a decade leading AI/ML work) building explainable fraud detection, payments optimization, and financial forecasting systems that drive measurable business outcomes. She combines hands-on modeling and product strategy with cross-functional leadership, shortening the cycle from question to decision so organizations consistently make better choices. At Walmart Global Tech she has scaled applied ML across fraud, payments, trust & safety, FP&A and adtech, building teams that balance technical rigor with business impact. Trained in machine learning at Columbia and grounded in engineering from her early JPMorgan and telecom-era roles, Priya blends deep technical craft with operational experience in high-stakes financial systems. Notably, she pairs explainability and governance with experimentation-driven deployment, ensuring models are auditable and tied to KPIs rather than being academic exercises.
12 years of coding experience
13 years of employment as a software developer
Master’s Degree, Computer Science (Machine Learning), Master’s Degree, Computer Science (Machine Learning) at Columbia University
B.Tech, Instrumentation Engineering, B.Tech, Instrumentation Engineering at Anna University Chennai
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Priya Venkat - Distiguished Data Scientist Director