About Me

Hello! I'm Eric, a passionate Computer Science student specializing in Data Science & Analytics. I'm dedicated to solving complex problems through code and data-driven insights.
With a strong foundation in programming and analytical thinking, I strive to create innovative solutions that make a meaningful impact. I'm constantly learning and exploring new technologies to expand my skill set.
My Projects

A predictive analytics project built using Python and Jupyter Notebook to identify customers likely to churn based on bank customer data. The model uses demographic, financial, and behavioral features to classify churn outcomes and provide actionable business insights.

MoodTunes is a mood-based music recommendation system built with React, Vite, Node.js, and Express, using the Cyanite and Spotify APIs to suggest songs that match your mood, with JWT-authenticated access and smooth Framer Motion animations.

A full-stack web application developed using Next.js and TypeScript. The project incorporates an intuitive dashboard and rich data visualizations to help healthcare professionals analyze patterns and risk factors associated with patient readmissions.
Education & Certifications
Specializing in Data Science
- Consistent Dean's Lister
- GPA: 1.72