Brady Thompson is a Data Scientist at C.H. Robinson, where they bring a robust background in mathematics and data science, highlighted by their PhD in mathematics focused on random matrices. Previously, Brady served as an Associate Instructor at Indiana University Bloomington from 2014 to 2019, teaching various undergraduate mathematics courses. They hold a Bachelor’s Degree in Mathematics and a Master’s Degree in Applied Statistics from Indiana University Bloomington, as well as a previous degree from the University of Utah. Skilled in R, Python, SAS, Stata, and Matlab, Brady is particularly interested in the intersection of data science and machine learning.
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