About Me

Hello! I’m Matthew, a Data Science and Business/Industrial Analytics student at UC Berkeley. My passion for software applications began early, attending hackathons, conferences, and experimenting with projects. Since then, I’ve continued to deepen my skills through UC Berkeley’s curriculum, personal projects, and hands-on experience in internships and contract roles. I’m always eager to connect—feel free to reach out!

If you want to see more info about my work experience, check out my resume!

Projects

This Website!

AWS (S3, Route 53, CloudFront, DynamoDB, CI/CD), Python, JavaScript

This is my attempt at cloud resume challenge in AWS. What is Cloud Resume Challenge? - The Cloud Resume Challenge is a multiple-step resume project which helps build and demonstrate skills fundamental to pursuing a career in Cloud. The project was published by Forrest Brazeal.

MusicMate

Python, Pandas, Seaborn, Scikit Learn, Random Forest

A music app that analyzes your Spotify listening habits with unique insights and ML applications. Deployed an interactive Flask website that analyzes user Spotify listening habits through song insights. Built a mood classification Random Forest model, analyzing key song features through a machine learning pipeline including EDA, feature engineering, hyperparameter tuning, and model evaluation.

SEMS

Python, Pandas, Flask, Plotly, Arduino

A real-time app that monitors your environment. Implemented various sensors to monitor environmental factors (AQI, radiation, etc.) via Raspberry Pi. Led backend development for real-time analysis of sensor data in an interactive Plotly dashboard.