• Analyzed data using R to determine the frequency and severity of fatal truck crashes in Texas• Collaborated with multiple federal agencies to combine data sources that allowed crash data to be scaled for roadway traffic volumes, enabling states and roadway crash rates to be robustly compared• Presented findings to the Associate Administrator for Research and Registration and other senior management to provide insights on how to alter government policy to improve roadway safety

• Studied the effect of sampling distributions on a machine learning implementation of matrix completion to predict the toxicity of novel chemicals that was developed using the Funk-SVD algorithm implemented with pandas and scikit-learn libraries in Python• Successfully improved accuracy on the minority classes by more than 250%, which is critical for identifying highly toxic chemicals that are underrepresented in the training dataset• Added documentation to ensure hand-off to other team members of continued development

• Conducted research on the impact of county splitting on gerrymandering in Congressional redistricting maps• Developed a novel algorithm using the pandas and NumPy libraries in Python to generate randomCongressional redistricting maps with minimal county number of split counties, municipalities, and precincts• Generated an ensemble of legal Tennessee State legislative district maps using Markov Chain Monte Carlomethods to demonstrate that counties were unnecessarily split for use in anti-gerrymandering litigation

• Conducted research on using Markov Chain Monte Carlo methods to generate random Congressional redistricting maps that meet specific criteria (i.e., high compactness or minimal county splits)• Developed a parallel approach using Python to create desired maps 10 times faster than sequential programs• Contributed tools to existing code base to automate analysis of generated maps

• Sought out clients and created websites to meet client needs (including Search Engine Optimization (SEO) and ecommerce solutions) using HTML, CSS, WordPress, Shopify, and Squarespace• Websites worked on currently receive a combined 15,000 visitors per month