I am a master’s student in Data Science at the University of Virginia. I’m passionate about technology, problem-solving, and continuous learning, and I enjoy applying my skills to real-world challenges. Through the program, I am developing expertise across the full data pipeline—data collection, engineering, cleaning, analysis, visualization, and predictive modeling—using advanced machine learning and statistical methods. Outside the classroom, I work on projects that involve building scalable data systems, applying deep learning techniques, and creating insightful visualizations. I am especially drawn to bridging technical rigor with practical impact, and I constantly iterate to improve my work. I am interested in opportunities in business analysis, consulting, software development, and data science, and I’m excited by the power of data-driven insights to drive meaningful change.
The Dorm Room System is an intelligent monitoring and management platform designed to provide real-time insights into dormitory environments using graph-based data models. Here is the project link.
This program takes a collection of Glassdoor employee reviews and a user's query about a company's workplace culture, and outputs a chatbot-style summary based on real employee experiences. Here is the project link.
This full-stack app helps users search keywords and find personal political related articles. Here is the project link.
This project demonstrates an ETL (Extract, Transform, Load) process for data pipelines. Here is the project Project Link.
This program is a simulation of a bus transit system. Here is the project link.
This project implements the Elliptic Curve Digital Signature Algorithm (ECDSA) using the secp256k1 curve. The implementation includes key generation, message signing, and signature verification. Here is the project link.