This page collects the digitized full text Undergraduate Honors Theses of the Data Science Program at the University of Arkansas, Fayetteville.
Selected titles of Undergraduate honors thesis written prior to 2023 can be found in Special Collections.
Theses from 2025
Guide to Data Science: A User-Friendly App for Data Exploration, Chloe E. Burgess
Understanding and Evaluating Multi-class Product Classification Methods for E-commerce, Caroline G. Cordes
Optimizing Fire Station Placement in Sugar Land, TX: A Socioeconomic Risk-Based Approach, Alicia Gallemore
NUTMEG: Separating Signal From Noise in Annotator Disagreement, Jonathan W. Ivey, Susan Gauch, and David Jurgens
Shortage to Surge - Studying the Post-COVID-19 Guitar Retail Market, Jed H. Kim
Extending Simulation-Enhanced Bayesian Optimization of System Designs: A Computational Study, Luke Kim
Computer Vision in Soccer: YOLOv11 Analytics Engine for Quantifying Game Strategy, Connor S. Maurer
Attribute Based Assortment Using Machine-Learning, Hector Negron
Enhancing The University of Arkansas' Operations Through Data Science, Aura L. Pinto-Avelar
Machine learning-assisted analyses for identification and prediction of genetic abnormalities in human pluripotent stem cell populations, Sabrina A. Saitta
Lucky Charms: Leveraging Consumer Data Analysis for Strategic Decision-Making at General Mills, Katherine Page Thomas
Enhancing Product Image Classification: Utilizing Machine Learning Models for Retail Applications, Avery A. Thompson
Breaking Down Data Science: A Low-Code Machine Learning Platform, Avie D. Timby
IcyLib: A Scalable Solution for Reproducible Image Classification Workflows, Leo Williams
Theses from 2024
The Importance of Data Preparation in a Data Science Problem, Sophia Beard
A Comprehensive Analysis of Training Induced Heat-Related Injuries at Fort Moore, Anthony Beger
Sequential Optimization for Stressor-Informed Test Planning Through Integration of Experimental and Simulated Data, Jacob Brecheisen
Examining Award Compliance to Inform Resource Allocation, Jacob Haarala
Spatiotemporal Negative Inventory Outlier Decomposition for Supply Chain Applications in Consumer-Packaged Goods (CPG), Hayden McDonald
Employing Natural Language Processing to Link Customer Survey Feedback with Net Promoter Scores, Gerardo Moreno
The Importance of Text Representation for Neural Networks through Natural Language Processing Techniques, William Parsley
Examining the Impact of Customer RFP Characteristics on Award Compliance, Laasya Ravipati
A Spatiotemporal Analysis of Violent Crime in Little Rock, Arkansas from 1999-2022, Nicole Rogers
Concurrent Processing of Retail Data in Python to Optimize Runtime, Bobby Slavin
Predicting True Attributes of Retailer Data, Abby Willard
Theses from 2023
Autonomous Portfolio Management Using Deep Learning, Jack Kincannon
Internship Thesis - Happy Egg Co., Annelise Koster
