Computer science senior focused on data and machine learning. Bilingual in Chinese and English. Comfortable with Python, SQL, and core statistics. Came to computing later and built skill through steady practice and clear, simple notes. Interested in using AI in practical settings, including automation, to help people and improve everyday systems.
U.S. permanent resident
Wildfire Prediction (Generative AI), Class project, Fall 2025 (ongoing), estimate wildfire risk using NASA FIRMS records., NASA FIRMS active fire and hotspot detections from VIIRS and MODIS, aggregated by location and date., fire radiative power, brightness, day or night flag, confidence score, recent-history counts (7, 14, 30 day windows), simple spatial grid, elevation, baseline logistic regression, random forest, a small generative step for scenario sampling, validated with a rolling window, risk scores and simple maps; brief notes on limits and next steps.
Grouper Project Starter, Course project, Spring 2024, Planned the data model for a MERN app and mapped users, groups, tasks, and activity logs., a starter repo that classmates could clone and run, with a clear path for the next sprint.
Cancer Screening Model Comparison, Course project, Spring 2022, compare classical ML models on a structured dataset to help doctors screen for cancer., Contributed code in Python for data cleaning, feature scaling, and train-test splits.
Python, SQL, HTML, Pandas, NumPy, scikit-learn, Jupyter, Matplotlib, MySQL, PostgreSQL, Git, VS Code, Excel, Google Sheets, Canva, Adobe Acrobat, English, Mandarin Chinese