• Received grant through the Hewlett Fund at Princeton OURSIP to pursue research at the University of Michigan IOE dept under Prof. Albert Berahas and Prof. Raed Al Kontar. • Collaborated with the UM Soccer team to develop an automated system to obtain and process datasets to create visualizations and pre-match reports to assist the coaching staff in strategic decision-making. • Assisted in developing predictive models to forecast Big 10 conference match outcomes, contributing to the WinAI project aimed at leveraging AI and data analytics for competitive advantage.

Guides current C-suite in strategic planning with focus on post-pandemic growth for student-run, 501(c)(3) non-profit organization.

Streamlined logistics for camp that is organized by 30 local HS students. Led in developing and teaching engaging curricula at annual summer camp serving middle school students.

Developed and taught interdisciplinary courses in statistics, non-Euclidean geometry, forensics, sports science, and survival over the course of 3 annual summer camps for middle school students.

Used logistic regression, gradient boost, and XGBoost models using Python to mathematically predict graduate admission probabilities. Improved prediction rate of test data to 80% by tuning parameters and performing feature engineering. Work presented in the UM Industrial and Operations Engineering technical report.

Developed scholarship and summer opportunities database and worked on UX design for organization website. Implemented features to filter and sort scholarship opportunities based on various criteria.