Motivated and detail-oriented Computer Science student at Simon Fraser University, with hands-on experience in machine learning, data modeling, and full-stack web development. Adept at solving real-world problems through collaborative projects and volunteer work, including the application of Hidden Markov Models for anomaly detection and the creation of a personalized music recommendation platform using Java and Spotify APIs. A strong communicator fluent in both English and Mandarin, with a proven track record in bridging cultural and technical gaps. Passionate about innovation, user experience, and driving impactful solutions in dynamic team environments.
CMPT 276
September 2024 – December 2024
Developed a website using GitHub, Java to let users see the songs they often listen to and recommend new songs based on their preferences.
Using Spotify URLs
CMPT 318
January 2025 – March 2025
Implemented time series feature scaling using normalization to improve HMM training accuracy for anomaly detection.
Conducted Principal Component Analysis (PCA) to select optimal response variables, enhancing model performance by reducing dimensionality.
Designed and trained multiple Hidden Markov Models (HMMs) with 4–20 states using R to analyze electricity consumption data.