A showcase of my professional journey
Research Assistant
Climate Extremes Theory and Data Group, University of Chicago
June 2024 – Present- Optimized data pipelines for handling large-scale climate datasets using Python, Dask, and xarray.
- Enhanced AI weather models for improved forecast accuracy, focusing on the Asian monsoon.
- Developed a parallel IO DataLoader to expedite data processing, resulting in a 30% reduction in computation time.
Data Science Intern
Fermi National Accelerator Laboratory
March 2024 – June 2024- Improved Graph Neural Networks for enhanced neutrino detection in Liquid Argon Time Projection Chamber systems.
- Implemented a sawtooth mechanism and residual connections, increasing model accuracy by 3% and performance by 5%.
Data Analyst
P.LEAGUE+ (Taiwan Professional Basketball League)
September 2022 – July 2023- Analyzed player performance metrics and team dynamics using Python and K-means clustering.
- Developed interactive data visualizations in Streamlit to provide insights to teams and league authorities.
- Enhanced customer engagement by 20% through behavioral data analysis, leading to improved marketing strategies.
Research Assistant
National Taiwan University
January 2021 – August 2022- Conducted quantitative research in political science and sports analytics.
- Processed and cleaned raw datasets, including the Dyadic Inter-State War Dataset and baseball-related data, using Python, R, and Excel.
- Developed structured datasets on wars, conflicts, economic indicators, player statistics, referees, and ethnicity.
- Applied quantitative models to analyze war-related conflicts and managed tagging of sports-related data.