March Madness Prediction

As someone who is passionate about both sports and data science, sports prediction has been a perfect fit for me. After completing an Intro to Machine Learning course during my sophomore year at UT Dallas, I used my newly discovered skills in data science competitions hosted by Kaggle. The first competition I competed in was around predicting the outcome of each match in the Men's March Madness 2018 competition. Using a combination of machine learning models and feature engineering techniques, my algorithm's results placed in the top 1% of all brackets worldwide and I correctly predicted the tournament's winning team, Villanova. In 2019, I developed a new algorithm whose results placed in the top 3% of all brackets worldwide and again correctly predicted the winning team, Virginia.
Year
February – March 2018
February – March 2019
Role
Data Science
Machine Learning