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Toral Parekh, MBA, is an experienced Senior Product Data Scientist at Stash, where significant contributions include developing a multiple regression LTV model that improved prediction accuracy by 50% and streamlining revenue processes to save 50 hours annually. Previously, Toral worked as a Senior Data Analyst in Fraud Prevention, achieving over $100K savings by identifying a fraud ring and advising on machine learning strategies that reduced bank liability by 80%. Additional roles at Equifax and Purchasing Power further highlight expertise in data analysis, process automation, and strategic decision-making, supported by a strong academic background with multiple degrees in chemistry and business administration from Georgia State University and Mumbai University.