Rezul Setia is a decision scientist with cross-industry experience in big data tools, video analytics, customer segmentation, predictive modeling, and satellite image analysis. Rezul began their career as a Trainee Decision Scientist at Mu Sigma Inc., where they developed an end-to-end system for optimizing casino operations and applied predictive modeling for satellite image insights. After internships at Aricent and Unilever, they served as a Senior Associate and Consultant at Boston Consulting Group before becoming a Product Strategy & Operations professional at Google. Rezul excelled academically, earning a degree in Computer Science and Engineering from Panjab University and completing a PGPDM at the Indian Institute of Management, Lucknow.
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