Govind Nair is a Senior Product Manager specializing in FCC Data Science at Oracle with a decade of experience building ML-driven products for financial crime, AML, and fraud detection. He blends deep quantitative skills from an MS in Computational Finance with hands-on product leadership—having delivered customer risk scoring, anomaly detection, and segmentation models that reduced costs and improved risk accuracy. Govind is known for transforming teams culturally, instituting collaborative OKRs, customer interview practices, and learning rituals that turn feature groups into empowered product teams. Earlier roles at KeyBank and Mu Sigma show strong model validation, Bayesian tuning, and production monitoring expertise, plus practical tooling like a web app for business-rule optimization. Based in New York, he pairs an engineer’s curiosity (actively improving his programming and data science skills) with a pragmatic focus on measurable business and customer outcomes.
10 years of coding experience
9 years of employment as a software developer
Master of Science (MS), Computational Finance and Risk Management, Master of Science (MS), Computational Finance and Risk Management at University of Washington
Bachelor of Technology (B Tech), Industrial Engineering and Management, Bachelor of Technology (B Tech), Industrial Engineering and Management at College of Engineering, Trivandrum
Repository containing experiments, learnings as I explore RL
Contributions:4 commits, 2 PRs, 2 pushes in 8 months
reinforcement-learninglearningsexplore
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