Analyzed post-COVID labor and wage datasets using SQL and Pandas to extract, clean, and aggregate multi-source public data. Conducted comparative economic statistical analysis of union versus non-union employment trends, identifying differences in wage growth patterns and labor market structure.
Built a Python ETL pipeline using BeautifulSoup, RegEx, and Pandas to extract, clean, and standardize job application data. Transformed inconsistent company, location, and timestamp fields into structured features, MatPlotLib for data cleaning and analysis to identify application trends.
Ran a local GPT-2 model to generate high-volume synthetic text, then built a comprehensive analysis pipeline to evaluate and compare the outputs against a large 7 GB dataset (~1.6 million rows) of existing synthetic text data. Applied expertise in model selection, fine-tuning, tokenization, and optimized data loading strategies to effectively handle memory constraints while performing distributional analysis and quality validation.
Collated Spotify API listening history with Strava API GPS data on timestamps (songs listened to while running) to analyze performance differences. Processed geospatial activity data using GeoJSON LineString geometries and GPX track files to reconstruct routes and movement paths. Applied statistical tests and visualized results using Matplotlib to evaluate how music correlates with pace, distance, and elevation.
Pulled data from Kaggle datasets to analyze 25 years of Big Mac Index data across 50+ countries, assessing 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.
Created a structured case competition presentation focused on data-driven storytelling and business alignment. Translated analysis into clear strategic recommendations and visual narratives.
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.
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.