Tobi Bosede is a machine learning engineer at Johns Hopkins University. Previously, she was a reviewer for Bayesian Methods for Hackers and taught R programming at Johns Hopkins University and Python programming for General Assembly. Tobi’s professional work spans multiple industries, from telecom at Sprint to finance at JPMorgan. She holds a bachelor’s degree in mathematics from the University of Pennsylvania and a master’s in applied mathematics and statistics from Johns Hopkins University.
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