Jay Kachhadia

Background

About Jay Kachhadia

I turn petabytes of data into machine learning systems that help predict the future—powering smarter business decisions for brands like Paramount+, CBS, Comedy Central, Nickelodeon, MTV, Paramount Pictures, and more. As a Data Science Manager at Paramount+, I specialize in Content Forecasting and Optimization, using advanced machine learning to help shape what audiences watch next. With 5 years of experience in data science, machine learning, and software development, I build and deploy scalable data products that drive real business impact. Whether it’s forecasting content performance or optimizing streaming strategies, I bridge the gap between cutting-edge algorithms and practical decision-making. I began my journey at CBS Interactive (now Paramount+) in 2019 as a Data Engineering Intern, where I worked on projects like an Anomaly Detection System, a Subscription Abuse Detection model using graph-based machine learning, and a hyper-personalized recommendation engine—which also happened to win HackDay 2019. Since then, I’ve expanded my work to lead machine learning initiatives that tackle complex problems in the ever-evolving streaming landscape. When I’m not building models, you can find me traveling, skateboarding, and listening to rock music. I also enjoy sharing insights by writing for Towards Data Science on Medium—because good ideas are meant to be shared.