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Daniel Shank

Data Scientist at SupportLogic

Daniel Shank is a Senior Data Scientist with a strong background in Machine Learning and analytics, proficient in Python, R, Jupyter, sklearn, Numpy, spaCy, pandas, Tensorflow, Pytorch, and other machine learning libraries.

He holds a BA in Economics with Honors from the University of Chicago, showcasing his academic prowess in the field.

Daniel has held various key roles in organizations such as SupportLogic and Talla, where he leveraged his expertise to drive data-driven solutions.

He has a rich research background, serving as a Hackstar at Techstars and in research assistant roles under notable professors at the University of Chicago like Lazslo Babai, Moshe Hoffman, Ali Hortacsu, and Victor Herrera Lima.

His experience and contributions in the realm of data science and research demonstrate a well-rounded professional with a dedication to leveraging data for impactful outcomes.

Daniel Shank
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Location

Greater Boston