
PROJECTS
Engineering
The projects shown below encompass problem solving, analytical thinking, mathematical use, and many other important qualities that engineers use on a daily basis. Projects will be posted as they are completed through each semester.
PYTHON PROJECT 1
Manufacturing Process
NC State Drink Coaster Design Project
This report documents the design and manufacturing process for an NC State–themed drink coaster created. It covers the full lifecycle of the project, including product design, process planning, machining, inspection, and cost analysis. Details about the use of CNC machining and laser cutting to fabricate dual-sided coasters featuring Doak Field and Reynolds Coliseum, as well as the creation of a coaster holder are included. The report also analyzes production economics and reflects on challenges, lessons learned, and opportunities for efficiency in large-scale manufacturing
Anatomy of a Perfect Theme Park Day - Hollywood Studios
Tableau Data Visualization Project
This was a personal project not related to any school projects that gave me the opportunity to explore Tableau and data visualization. This project tells the story using data visualization to analyze guest flow and operational efficiency at Disney's Hollywood Studios. By correlating hourly ride capacity with average wait times, the project identifies "high-demand" leaders and geographic "pressure peaks" across park zones to develop a strategic roadmap for minimizing time in line. Utilizing heat maps and volatility charts, the analysis reveals optimal "off-peak" windows, transforming complex historical datasets into actionable recommendations for maximizing the theme park experience.
Supply Chain Management
Goldsboro, NC Fire Station Case Study
In response to Goldsboro’s rapid growth and the Interstate 42 expansion, I analyzed eight candidate sites to find the best locations for new fire stations. My goal was to ensure the city hits national safety standards, specifically reaching incident sites within 4 minutes for the first truck and 8 minutes for the second. To do this, I modeled the trade-offs between a $40M installation cost per facility and the necessity of minimizing travel times across the city. This project resulted in a data-driven plan that optimizes station placement to keep up with urban development while staying within budget.