Data Science Projects
Computational modeling, data wrangling, and algorithmic strategy . International trade audits to data-driven marketing frameworks. Python, SQL, and API integrations that turn raw data into functional insight.
Alpha Sigma Chapter Centennial
I ran a fundraising and archival initiative, designing and executing a communication strategy that engaged 200+ members. Leveraging tools such as Constant Contact, this outreach generated $90,000 in donations for the Wiley and Alpha Sigma Endowment Program.
I sustained project visibility through monthly engagement and fundraising reports, and ensured long-term institutional memory by producing a comprehensive historical archival book for the chapter.
Accelerated A/B Testing Simulation
I developed a high-performance computing solution to address critical processing bottlenecks. Reducing complex simulation runtimes by over 92%. By migrating a serial Python workflow to a parallelized environment on the Ptolemy Cluster, I achieved a performance efficiency rating exceeding 1.0, demonstrating how strategic infrastructure decisions can maximize hardware ROI and accelerate time-to-insight.
Spotify Viz
This interactive Tableau dashboard delivers a quantitative exploration of the Spotify Top 2000, analyzing thousands of tracks to map the evolution of musical trends across decades. Powered by API-driven data, the visualizations enable genre-level deep dives. Surfacing how sonic characteristics such as energy and popularity have shifted over time.
Einstein's Riddle: A Constraint Satisfaction Project
This project tackled Einstein's Riddle (the Zebra Puzzle), a complex logic problem with fifteen interconnected clues across five categories. Instead of manual searching, we modeled the riddle as a Constraint Satisfaction Problem.
By translating the puzzle's clues into formal variables and constraints, we developed an efficient algorithmic solution to logically deduce the unique combination and identify who owns the fish.
Red Wine Quality Statistical Inference Project
Leveraging a Random Forest model, this project assessed whether red Vinho Verde wine could be classified into distinct quality tiers based on eleven chemical properties. The analysis supported rejecting the null hypothesis, confirming that chemical composition is a statistically significant predictor of wine quality.
'how i'm feeling now' Viz
This interactive visualization provides a quantitative analysis of Charli XCX's How I'm Feeling Now, leveraging Spotify and Musicstax data to deconstruct the album's sonic characteristics. The dashboard maps key audio features specifically Danceability, Energy, Positiveness, and Speechiness against the Beats Per Minute (BPM) and stream count for each track.