Projects

This page highlights selected coursework, research, and technical projects.

Project 1: Analysis of COVID-19 Vaccination Disparity Across Texas

Type: Course Project / Research Project / Team Project
Date: Fall 2025
Tools: Python, Jupyter Notebook, Pandas, Scikit-learn
Link: View Report

This project analyzed COVID-19 vaccination disparities across Texas using county-level CDC data. I was involved in cleaning and preprocessing the data, conducting exploratory data analysis, and applying statistical testing to evaluate differences between metro and non-metro counties. The analysis found that metro counties consistently had higher vaccination rates, revealing a significant urban–rural gap and emphasizing the need for targeted public health interventions.

Project 2: DMV Database Design Project

Type: Course Project / Research Project
Date: Fall 2025
Tools: SQL, Microsoft
Link: View Report

This project involved designing and implementing a relational database for a DMV system. I identified key entities and relationships, developed ER diagrams, and built the full schema using SQL with primary and foreign keys. The database supports complex relationships such as multiple vehicle owners, accident involvement, and citation tracking, ensuring data integrity and scalability.

Project 3: Business Data Visualization Using Excel

Type: Course Project / Research Project
Date: Spring 2026 Tools: Excel
Link: View Report

This project analyzed retail sales trends using Excel and a Kaggle dataset. I developed pivot tables, charts, and statistical analyses (ANOVA and t-tests) to evaluate differences in sales across product categories, gender, age groups, and time. The analysis revealed that sales patterns are primarily driven by customer demographics and seasonality, with significant insights for targeted marketing strategies.