I am an Applied Mathematics student at IU Indianapolis with a minor in Applied Data Science and a certificate in Artificial Intelligence.

My main interests are data science, sports analytics, biomathematical modeling, data visualization, and predictive modeling.

This GitHub account is where I showcase my projects, skills, and ideas. I am always happy to connect, share ideas, and collaborate.

(Updated August 12, 2026)

You can see my full project list here:

A capstone sports analytics project completed during Carnegie Mellon Sports Analytics Camp 2026. We used R, Quarto, tracking and event data, and statistical and machine learning models to compare a player’s chosen pass with the highest threat realistic option and identify which spatial and defensive factors predict whether an attacker selects it.

• Project Repo
• Group Presentation
• Report
• Poster

A sports analytics project created during Carnegie Mellon Sports Analytics Camp 2026. I used R, Quarto, and data visualization to analyze team performance in the Ultimate Frisbee Association, focusing on scoring efficiency, turnovers, and playing style.

• Project Repo
• Team Performance Visualizations & Analysis
• Group Presentation

A group project completed for MATH-I 426: Introduction to Applied Mathematics and Modeling. Based on the paper Dodge and Survive: Modeling the Predatory Nature of Dodgeball, we studied deterministic and stochastic models used to compare different dodgeball strategies. I focused on stochastic modeling, created a Python simulation, and studied the deterministic equations and steady states.

• Project Repo
• Group Presentation

A final project for INFO-I 308, taught by Dr. Catherine Walsh. I built a normalized SQL database for soccer player and match performance, using joins, queries, views, triggers, and indexes. The data included in this project was generated for educational purposes and does not represent an official historical dataset.

• Project Repo

Programming & Data Analysis: R | Python | SQL | MATLAB | Excel
Data Visualization: Power BI | Tableau | Quarto
Data Science & Modeling: Statistical Modeling | Machine Learning | Deep Learning | Mathematical Modeling | Numerical Methods
Tools: Microsoft Office | Git | GitHub

Shafique, H., Demers, J. C., Biesiada, J., Golani, L. K., Cerne, R., Smith, J. L., Szostak, M., & Witkin, J. M.
International Journal of Molecular Sciences, 25(12), 6804.

• Full Article
• DOI

CMSACamp 2026 Research Showcase | Carnegie Mellon University | July 2026

• Presented Quantifying Passing Decision Quality Under Pressure, a sports analytics research project using soccer tracking and event data.

IU INSPIRE Undergraduate Research & Engagement Showcase | IU Indianapolis | April 2026

• Presented a research poster on biomathematical modeling of retinal blood flow and capillary regulation in glaucoma.

Rose-Hulman Undergraduate Mathematics Conference | March 2026

• Gave a solo oral presentation on biomathematical modeling of retinal capillary regulation in glaucoma.

Indiana Undergraduate Mathematics Research Conference | July 2025

• Co-presented undergraduate research on mathematical modeling of retinal blood flow and glaucoma.

MIT Sloan Sports Analytics Conference | Boston, MA | March 2026

American Soccer Insights Summit | Rice University, Houston, TX | January 2026