Chad Readey

Chad Readey is a pitcher on the Northwestern University baseball team and embodies the values of teamwork and perseverance. In his academic studies of data science and computer science, his research on MLB pitch prediction demonstrates an exceptional understanding of logistic regression. The project resulted in impressive classification accuracy. Chad is proficient in statistical analysis, data visualization, and machine learning and aims to connect data-driven insights to tangible business results.

Chad Readey’s passion for sports and data science go hand in hand with his study of MLB pitch predictions and logistic regression. He is a student at Northwestern University, where he is currently pursuing a B.A. in data science and computer science. He also plays on the university’s baseball team, where he is a pitcher. Chad enjoys the outdoors and follows major league baseball as an avid fan. 

Chad Readey, a self-described “nerd-athlete,” is studying data science and computer science at Northwestern University. He is a talented athlete and pitches for Northwestern University’s baseball team. Chad’s project on logistic regression demonstrated through MLB pitch prediction is one of many in-depth studies he’s done using data analytics and baseball statistics. He believes in charting his own course and also manages to be a team player.  

Northwestern University student Chad Readey is an enthusiastic and ambitious student who is currently studying data science and computer science. He serves as a pitcher on the university’s baseball team, and he is committed to teamwork and fostering resilience among his peers. Chad’s research project on MLB pitch prediction led to impressive classification accuracy and showcases his exceptional command of logistic regression. He enjoys following major league baseball teams.