Seyed Mousavi is a data scientist and co-founder with over a decade translating complex, noisy data into patented, high-impact machine learning solutions for startups and Fortune 1000 companies. He has driven product and research from prototype to production—building real-time analytics and correlation-detection platforms that beat news agencies to breaking events and helped raise significant venture funding. At Nike and BCG he delivered recommendation, personalization, and computer vision solutions in client-facing roles, combining academic rigor (ABD PhD work in Statistics/AI) with hands-on engineering. Comfortable across time-series, neural networks, and data architecture, he’s equally at home inventing novel algorithms as shipping scalable APIs—an uncommon blend that fuels both product differentiation and tangible business outcomes.
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