Summary
Vinith Angadi is a Machine Learning Scientist with nine years of hands-on experience turning complex datasets into actionable products across ad tech, workforce analytics, and computer vision. He holds an MS in Analytics from USC and has built production models and pipelines at Snap, Meta, Verizon Media, and now Wayfair—boosting ad revenue, optimizing office consolidation, and scaling location-based metrics on multi-terabyte data. His toolkit spans Python, PySpark, R, SQL, and OpenCV, and he has a track record of improving model accuracy (e.g., raising face recognition from 60% to 85%) and operationalizing A/B tests and custom clustering for business impact. Beyond engineering, he’s taught data mining and led campus analytics initiatives, blending practical model-building with clear communication and mentorship. Colleagues describe him as curious, creative, and data-obsessed—equally comfortable prototyping novel ML approaches or translating metrics into product decisions.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Analytics, Master of Science - MS Analytics at University of Southern California
Sharada Residential School
Business Analytics, Business Analytics at USC Marshall School of Business
PCMC, PCMC at Deeksha
Bachelor of Engineering - BE Computer Science and Engineering, Bachelor of Engineering - BE Computer Science and Engineering at KLE Technological University - Hubballi (India)