Projects in statistical modeling, data analysis, and visualization. Each one built, written, and presented by me.
Developed a binary logistic regression model to classify U.S. domestic flight arrival delays using over 1 million records from January–February 2024. Independently sourced and cleaned the dataset, engineered features, and evaluated the model using confusion matrices and ROC-AUC in R. This project demonstrates end-to-end analytical ownership: from raw data to actionable conclusion.
A collection of published interactive dashboards exploring Taiwanese credit card payment behavior, U.S. graduate salary trends by state institution, cellphone form factor preferences, and wine market analytics. Each dashboard applies calculated fields, interactive parameters, and intentional visual hierarchy to make data accessible to non-technical audiences.
