Summary
Neelima Rathi is a data scientist with 10 years of experience applying statistical rigor and machine learning to business problems across fintech, media, and e-commerce. Based in Mountain View, she has led analytics and modeling efforts at LinkedIn and Funding Circle, building ensemble models to drive sales prioritization and cash allocation decisions. Her background in finance and economics (Masters in Finance, BS Economics) combined with a Berkeley data analysis certificate gives her a strong foundation in both domain-savvy analysis and production-ready tooling (Python, Spark, AWS, SQL). She has delivered practical NLP and recommender solutions for clients like Warner Brothers, Red Bull, and Overstock, and was a finalist in the 2018 Sabre Awards for applied analytics work. A collaborative rapid learner, she bridges research-caliber empirical methods with product-focused impact.
10 years of coding experience
5 years of employment as a software developer
Professional Program in Data Analysis, 4.0/4.0, Professional Program in Data Analysis, 4.0/4.0 at University of California, Berkeley
Bachelor's of Science, Economics, Bachelor's of Science, Economics at Shri Shikshayatan College
Data Science and Analysis, Data Science and Analysis at Galvanize - San Francisco, SoMa
Masters in Finance, Masters in Finance at State University of New York at Buffalo
English, Hindi