Summary
Nikhil Vanderklaauw is a Senior Data Scientist based in New York with nine years of experience building data-driven products across healthcare, e-commerce, and personalization. He holds an MS in Data Science from Harvard (4.0) and a BS in Mechanical Engineering from Duke, combining strong ML foundations with engineering rigor. At Aetna/CVS he progressed from Data Scientist to Senior Data Scientist, applying predictive modeling and experimentation to improve outcomes at scale, and earlier roles at Wayfair and Spotify honed his acquisition and personalization expertise. His background includes applied research—everything from computer vision for energy estimation at Duke to radar path-finding at MIT Lincoln Laboratory—showing an ability to translate academic techniques into operational systems. Nikhil blends statistical rigor (A/B testing, predictive models) with product-minded execution, having led cross-functional initiatives that materially improved conversion and campaign performance. He’s a globally minded, curious operator who surfaces non-obvious gains by combining domain context with careful experimentation.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science in Engineering, Mechanical Engineering Major; Computer Science Minor, Cum Laude, Bachelor of Science in Engineering, Mechanical Engineering Major; Computer Science Minor, Cum Laude at Duke University
Master of Science - MS, Data Science, 4.0, Master of Science - MS, Data Science, 4.0 at Harvard University
International Baccalaureate High School Diploma, IB Score: 40, International Baccalaureate High School Diploma, IB Score: 40 at United Nations International School
English, Spanish, Chinese