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
February – March 2019
Link
Role
Data Science
Machine Learning
