My name is Charles Benfer, and I have a strong background in mathematics, specifically data science, machine learning, artificial intelligence, and statistics. Several project I have completed include (in reverse chronological order):
- Using predictive modeling to influence transfer portal acquisitions in Division 1 SEC Baseball
- Using predictive modeling to improve pitcher performance in Division 1 SEC Baseball
- Predicting phenotypic properties of Zea mays (field corn) using genetic and environmental predictors
- Predicting anti-bacterial resistence levels in Chickens
- Which is more important: Pitching or Hitting? Using regression to understand what make a winning baseball team.
Many of these data sets are proprietary, but some repos can be found on my GitHub page for these analyses.
My story
Began my mathematics careers as an educator, graduating in 2021 from Mount Saint Mary College with a BA in Mathematics and a MS Ed in Adolescent Mathematics Education and Special Education. After teaching middle school for one year, I moved to Auburn, Alabama to pursue a PhD in mathematics, specializing in Graph Theory. In my first year, I found a love for data analysis, specifically its applications in the sports world.