Summary
Ashis Chanda is a Senior Data Scientist based in New York with 11 years of experience bridging academic research and industry application in machine learning, NLP, and medical informatics. He holds a Ph.D. in Computer Science from Temple University and has published in top journals and conferences while also serving as a reviewer for venues like ACL and J-BHI. At American Express he applies advanced models—including work on LLMs and time-series—to real-world problems, drawing on prior research roles at Temple, Siemens Healthineers, and health-focused institutions. Known for building pragmatic, smart tools (per his GitHub ethos), he blends deep technical rigor with product-minded problem solving. An interesting differentiator: he pairs strong publication credentials with hands-on production experience, making him effective at translating cutting-edge research into deployed solutions.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer and Information Sciences, Doctor of Philosophy (Ph.D.), Computer and Information Sciences at Temple University
Master of Science (M.S.), Computer Science & Engineering, Master of Science (M.S.), Computer Science & Engineering at University of Dhaka
Hindi, Bengali, English