Charles Harrison is an Applied Scientist at Minitab, currently pursuing a PhD in Statistics & Data Science at the University of Central Florida. With two years of full-time experience in data science and machine learning, along with four internships, Charles has developed expertise in tree-based machine learning, Bayesian clustering, and various algorithms across significant programming languages. Prior to Minitab, Charles worked as an Applied Scientist at Amazon and held internships at notable companies, including Sprint and The J.M. Smucker Company. Charles earned a Master of Science in Statistical Computing and a Bachelor of Science in Mathematics from the University of Central Florida and Pittsburg State University, respectively.
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