Analyzed post-COVID labor and wage data to compare union and non-union employment trends. Identified differences in wage growth patterns and labor structure using multi-source public datasets and comparative statistical analysis.
Built a Python ETL pipeline using BeautifulSoup and regex to extract, clean, and standardize job application data. Transformed inconsistent company, location, and timestamp fields into structured features, then applied pandas for large-scale data cleaning and exploratory funnel analysis to identify application trends.
Joined Spotify listening history with Strava GPS data using timestamp alignment to analyze performance differences. Applied statistical tests (t-tests, ANOVA, Cohen’s d) to evaluate how music correlates with pace, distance, and elevation.
Analyzed 25 years of Big Mac Index data across 50+ countries to assess purchasing power parity and currency misalignment. Applied linear regression and R² metrics to evaluate long-term price trends and cross-country variation in implied exchange rates.
Redesigned the NOAA GLANSIS interface to improve usability, accessibility, and navigation clarity. Developed iterative prototypes using user feedback and refined visual hierarchy for better information discovery.
Created a structured case competition presentation focused on data-driven storytelling and business alignment. Translated analysis into clear strategic recommendations and visual narratives.
Designed and prototyped an end-to-end product experience, including wireframing, iteration, and user-focused improvements. Contributed to development and final presentation during a university showcase.