Bua Matthews | Data Scientist

Bua Matthews

Data Scientist

Based in Nashville, TN

About

I am a Blockchain enthusiast and Data Scientist with a passion for forecasting events amid uncertainty. With a background in quantitative research, I'm driven to tackle complex problems and deliver novel insights to stakeholders. I pride myself on being a detail-oriented problem solver and a team player, with technical skills that include data wrangling, predictive modeling, and data visualization using advanced tools such as Python, R, and Tableau. When I'm not working on data projects, I enjoy bodybuilding, fueling my passion for discipline, focus, and hard work. I'm excited to bring my unique perspective and creativity to every project, combining intelligence and innovation to deliver exceptional results.

Skills

Projects

Tennessee Mortgage Probability Calculator Powered By Logistic Regression

This analysis investigates whether or not race is a stronger predictor of mortgage loan denial than income and associate indicators of creditworthiness in TN.

OpenSecrets - Web Scraping with Beautiful Soup

The purpose this project is to help us gain insights into political campaign contributions in the United States by analyzing data from OpenSecrets using web scraping techniques.

Interactive Map of Nashville Affordable Housing

Vanderbilt Accre GPU Performance

Analyzed total runtime usage and GPU usage across partitions. Result: 93.6% of total completed jobs use below 25% of requested time.

Tennessee Healthcare Referral Patterns

Using an unsupervised learning algorithm and community detection, generated recommendations for which professionals Vanderbilt Hospital should contact to increase patient volume.

Machine learning for Early Detection of Truck Derates

This presentation highlights several machine learning approaches to optimize professional truck drivers' schedules by predicting truck breakdowns. Truck data feeds are utilized to schedule repairs proactively, reducing disruptions to drivers' schedules and maximizing their earning potential.

Experience

2022-Present

Data Scientist at NSS

Created data visualizations using matplotlib, seaborn, and ggplot2. Performed geospatial analysis using geopandas and folium. Gathered data through APIs and webscraping. Source code version control with Git/GitHub. Built and deployed interactive data visualizations using the R Shiny library. Project management/tracking with GitHub project boards and issue tracking. Built and evaluated statistical and machine learning models using the scikit-learn and statsmodels libraries. Interacted with AWS using the CLI and ssh. Retrieved and analyzed data using PostgreSQL.

Education

2011-2015

BA Quantitative Economics at University of California, Irvine

2015-2017

MS Applied Economics at University of San Francisco

2022 - present

Doctor of Computer Science at Colorado Technical University