Analyzed labor union activity and wage trends using multiple public datasets to evaluate post-COVID shifts in employment and compensation. Conducted comparative analysis across union and non-union establishments to identify structural differences in wage growth and labor patterns.
Developed a custom GPT-2 pipeline for large-scale linguistic analysis, processing 7GB of human and AI-generated text across 1.3M+ rows. Generated statistical and visual comparisons to evaluate lexical and sentence-level variability using Python, Matplotlib, and Seaborn.
Integrated Spotify streaming history with Strava GPS data using temporal alignment to analyze relationships between music and running performance. Applied Welch’s t-tests, Cohen’s d, and ANOVA to evaluate differences in speed, distance, and elevation across listening conditions.
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 with a focus on usability, accessibility, and visual hierarchy. Conducted iterative prototyping and user-centered improvements to enhance navigation clarity and overall user experience.
Developed a structured, data-driven presentation for a case competition, emphasizing clear analytical framing, visual storytelling, and alignment with business objectives.
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.