Daniel Shank is a Senior Data Scientist and AI Engineer at Capgemini, specializing in machine learning and analytics since 2023. Previously, they held various research and technical positions at the University of Chicago, contributing to studies on causal calculus and financial contagion. Daniel has also worked as a Senior Data Scientist at Talla, where they developed semantic matching models and researched advanced machine learning methods. Their academic background includes a BA in Economics with Honors from the University of Chicago, earned in 2014.
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