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Atakan Okan is a seasoned data scientist with extensive experience in quantitative investment sciences and systematic data science, currently employed at Schonfeld since October 2022. Previous roles include data scientist positions at Millennium, where work involved alternative data ingestion, data quality, exploratory analysis, and alpha research, as well as research scientist specializing in deep learning at the Simons Foundation. Professional expertise encompasses natural language processing, speech recognition, time series forecasting, computer vision, and generative adversarial networks. Academic credentials include a Master of Science in Data Science from New York University and a Bachelor's Degree in Management Science and Engineering from Istanbul Technical University. Atakan also holds experience in quantitative research and data engineering across various companies.