This project predicts Costco members’ holiday spending using behavioral and membership data, comparing linear models with an XGBoost regressor. After handling skewness and multicollinearity, XGBoost delivered the best performance and was interpreted using feature importance and SHAP to identify key spending drivers.

I analyzed survey data from the early COVID-19 pandemic using the Perceived Stress Scale and resampling methods, finding significant stress differences by gender and age, which highlights the need for targeted mental health support during public health crises.

This project analyzes 2022 UN Refugee Agency data on forcibly displaced Palestinians to investigate whether sex influences refugee classification. Using a difference-in-proportions test, I found no statistically significant difference between the proportion of male and female refugees, suggesting sex does not determine refugee status. The analysis also visualizes country-level trends—highlighting Egypt’s exceptional intake—and demonstrates data manipulation, hypothesis testing, and clear communication in R.

A series of graphs highlighting different aspects of Super Bowl Games from the first Superbowl game in 1967 to the 53rd in 2019.