Summary
Nikhil Sawal is a data scientist based in Chicago with 3+ years of hands-on analytics and machine learning experience and a broader 9-year background across product, revenue and marketing functions. He has productionized recommendation systems and pricing experiments that drove six-figure incremental revenue, built self-service BI pipelines in Looker backed by BigQuery, and automated reporting to accelerate marketing insights. Comfortable across Python, R, SQL, ML and data engineering tools, he bridges analytics and engineering to deliver end-to-end solutions from feature engineering to deployment. Nikhil’s experience spans startups and large platforms (Raise, Grubhub, LinkedIn), and he brings a practical research mindset honed through academic projects in bioinformatics and operations analytics. Notably, he combines deep technical fluency with a track record of improving internal tooling and data design to simplify decision-making for cross-functional teams.
9 years of coding experience
7 years of employment as a software developer
Master’s Degree Industrial Engineering, Master’s Degree Industrial Engineering at Ira A. Fulton Schools of Engineering at Arizona State University
Bachelor of Technology (B.Tech.) Production, Bachelor of Technology (B.Tech.) Production at University of Mumbai
English, Hindi, Marathi