Jay Kachhadia is a Data Science Manager at Paramount+ with 11 years of experience building production ML systems that turn petabytes of behavioral and content data into actionable forecasts for streaming, acquisition, and retention. He leads content forecasting and subscriber-behavior models that directly inform programming and growth strategies for brands like Paramount+, CBS, and MTV, and has a track record of improving operational accuracy (e.g., an anomaly detector that outperformed Adobe Sensei during his internship). Comfortable across the ML lifecycle, he has built streaming pipelines, online models, graph-based abuse detection, and hyper-personalized recommendation engines that moved from research to deployment. Trained at Syracuse University and NIT Surat, he combines academic rigor with product sensibility and a knack for communicating insights—publishing popular pieces on Towards Data Science—while balancing creative interests like skateboarding and visual effects from an early entrepreneurial stint.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Engineering, Bachelor of Technology (B.Tech.) Computer Engineering at National Institute of Technology Surat
Master of Science - MS Data Science, Master of Science - MS Data Science at Syracuse University
Contributions:15 commits, 14 PRs, 8 pushes in 9 days
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