Summary
Aditya Chindhade is a data scientist with 8 years of experience applying engineering, mathematics, and machine learning to solve complex, real-world problems across tech and healthcare. Currently at Meta and a visiting researcher at Stanford Medicine, he has held data science roles at Lyft and Amazon where he moved models and insights from research into production. He combines a strong academic foundation—a PhD in Chemical Engineering from University of Washington and dual MS degrees from Carnegie Mellon—with hands-on industry experience in product-facing analytics. Known as a fast learner, he bridges domain expertise in chemical and health sciences with scalable ML solutions, often translating multidisciplinary research into deployable systems. Based in the San Francisco Bay Area, he brings both rigorous research instincts and practical delivery experience to high-impact data initiatives.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Chemical Engineering, Doctor of Philosophy - PhD Chemical Engineering at University of Washington
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS Business Technologies, Master of Science - MS Business Technologies at Carnegie Mellon University - Tepper School of Business
Master of Science - MS Chemical Engineering, Master of Science - MS Chemical Engineering at Carnegie Mellon University
English, Hindi, Marathi