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Analyzed a large-scale dataset to identify patterns across groups using statistical methods, data wrangling, and diversity metrics.

Full-stack RDBMS app with 14 relations and 35+ attributes. Designed normalized schemas using ER models, built a Node.js/Express backend with 10 parameterized SQL queries via Oracle Client.

RESTful full-stack scheduling system integrating courses, sections, rooms, and buildings. Supports bulk uploads and complex queries over historical academic data.

Full-stack language learning web application that helps users practice real-world conversations by interacting with an AI assistant in scenario-based roleplay.

Supervised classification pipeline to predict cancer diagnosis from diagnostic features. Benchmarked models to optimize recall score and used SHAP to surface the most predictive variables.