Optimization of Shipping Boxes Using a Modified K-Means Cluster (2022)

• This project is a high-level replication of a real-world project I worked on for the warehouses of a furniture retailer. The optimized box dimensions generated by this model reduced the total wasted space in shipments by 12%.

Using Strava's Open API to Analyze My Personal Running Data (2022)

• In this short project I experiment with pulling my personal activity data from the app Strava using its API and performing some basic data visualization.

Calculating Distance from Coordinate to Coastline (2022)

• This project is a R script that calculates the linear distance in miles from a pair of coordinates to the nearest coastline.

Comparison of Sentiment Analysis Methods on Twitter Data (2021)

• This project uses Twitter data to compare the accuracy of lexicon-based classification models against the accuracy of machine learning models for text analytics. This analysis was originally part of an assignment for a graduate-level text analytics course at the McIntire School of Commerce.

Analysis of Sneaker Price Markups (2021)

• This analysis aims to find the relationship between sneaker resale prices and the duration of time since the sneaker’s original release date. This data set is from a data contest on Kaggle.com and contains data pulled from the sneaker resale website StockX.com and includes the pricing data of two shoe brands: Yeezy and Off-White.

As virus crisis persists, PPP recipients lay off thousands (2020)

• This is a data-driven article highlighting the shortcomings of a targeted loan program amid the Coronavirus pandemic that I helped produce during my time as an intern at S&P Global.

Public focus on equality opens doors for some Black-owned banks (2020)

• This article assesses the effect social movements in the summer of 2020 had on minority depository institutions and Black-owned banks in particular.

An Econometric Analysis on the Decrease in Crime Since the 1990s (2020)

Published in undergraduate research journal: The Cupola

• This paper examines the decrease in crime from the early 1990s onward and the various factors that are commonly associated with this decrease. Scholars in the field of crime economics often disagree on what factors significantly affect the decrease in crime. The data focused nature of this research paper aims to cut past cultural stigmas and misconceptions to provide a clarifying image of what factors have played an important role in decreasing crime.