- π« : Undergraduate @Chung-Ang Univ
- π : Majoring in Psychology, English Literature, and Technology-Art.
- π§ Behavioral Science: cognitive psychology, user behavior, experiments
- π Data Analysis: Python, EDA, visualization, statistical modeling
- π¨ UX & Creative Tech: UX research, Figma, creative coding (Processing)
| Project | Tech Stack | Key Outcome |
|---|---|---|
| π Apple Music Data Analysis Song Success Predictor Model |
Python, Statsmodels (OLS), Pandas, Spotify API | Built a multivariate regression model to quantify the 'Hit Potential' of unreleased tracks based on metadata. |
| π΅ Spotify Data Analysis The Pure Audio Model |
Python, RandomForest, Linear Regression, Spotify API | Analyzed 6,000+ songs to test recommendation bias; the 'Previous Success' model reduced RMSE by 15%. |
| πͺ University Festival Web Log Analysis LUCAUS 2025 |
Log Parsing, Traffic Pattern Analysis | Identified user drop-off points via server logs and implemented a Contextual CTA (Food Truck Navigation) to improve retention. |
Data & Analysis
UX & Creative