Daniel Eubanks is the Lead Data Scientist at Bayer Crop Science, where they support the development of new business models and provide technical guidance to their team. With over 10 years of experience in data science, they excel in building statistical and machine learning models, developing user interfaces, and communicating results to stakeholders. Daniel previously served as a Senior Research Associate at the Federal Reserve Bank of St. Louis, where they conducted econometric research, and briefly worked as a Teaching Assistant at Vanderbilt University. Daniel holds a Master of Science in Computer Science with an emphasis on machine learning and data mining and a Bachelor of Arts in Economics and Mathematics from Vanderbilt University.
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