Summary
Preet Rajdeo is a San Francisco–based Sr. Lead Product Analyst with a decade of experience turning data into product and growth insights at companies like Pinterest, Slice, LOLA, and Thought Catalog. Trained in economics and machine learning, he blends statistical rigor with practical experimentation—designing A/B tests, building dashboards, and boosting conversion and revenue metrics across marketing and product teams. At Pinterest he progressed from Lead to Sr. Lead Product Analyst, applying predictive modeling and audience analysis to influence product decisions at scale. He maintains a technical practice—publishing a personal blog and active GitHub—so he pairs product intuition with reproducible code and ML workflows. Notably, his background includes both academic research and hands-on BI work, giving him a rare fluency across analytics, experimentation, and production-ready modeling.
10 years of coding experience
7 years of employment as a software developer
Data Analyst Nanodegree Program, Data Analytics, Data Analyst Nanodegree Program, Data Analytics at Udacity
Master of Arts (M.A.), Economics, Master of Arts (M.A.), Economics at University of Mumbai
Machine Learning Engineer Program, Machine Learning, Machine Learning Engineer Program, Machine Learning at FourthBrain
The Indira Gandhi National Open University (IGNOU)
Master of Arts (M.A.), Economics, Master of Arts (M.A.), Economics at New York University
Gujarati, Hindi, English