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Karim Osman is a Guest Faculty Member at the University of Washington's Information School, specializing in applied machine learning and data science. He brings extensive industry experience from roles at Flexport, Wayfair, and AI startups, where he has developed machine learning solutions for supply chain optimization, supply-chain topology design, and dynamic pricing. His work spans deep learning, causal inference, and optimization, with particular expertise in creating practical machine learning systems to tackle complex business problems. Currently, he is a Senior Research Scientist at DAT Freight & Analytics, where he focuses on auction modeling and recommendation systems.
University of Washington • Seattle, WA
Focuses on applied machine learning and data science.
DAT Freight & Analytics • undefined
Focused on auction modeling and recommendation systems.
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