Manojit Nandi is a Senior Data Scientist with 12 years of experience applying machine learning and statistics to real-world problems across cyber-security, business travel, and other domains. Currently at Spotify, he builds production ML systems and data products while championing algorithmic fairness and ethical AI in public forums. A Carnegie Mellon Decision Science graduate with an MS in Computer Science from UIUC, he blends strong technical foundations with practical product delivery. He regularly speaks at conferences on fairness and AI ethics, and is passionate about teaching others how to use data science for social good. Notably, his work bridges rigorous evaluation methods with operational concerns, making models both responsible and deployable at scale.
13 years of coding experience
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Illinois Urbana-Champaign
B.S, Decision Science, B.S, Decision Science at Carnegie Mellon University
Contributions:4 commits, 2 pushes in 3 years 11 months
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