Data science-focused computer science student at Appalachian State University with a minor in statistics and a certificate in sports analytics. I'm passionate about applying statistical modeling and machine learning to real-world data, particularly in sports. I've built statistical ranking models, worked with APIs and web scraping for data collection, and created dynamic visualizations in R and Python. I'm looking for data science or related internships where I can contribute to impactful projects and continue growing as an analyst.

Appalachian State Campus Store

Tech Sales Associate

August 2023 - Present

• Work in the tech area of the campus store and answer any questions about the technology we sell

• Utilize the NetSuite software to track inventory and predict revenue, determining which items to order

• Handle department orders and P-Card transactions to assist faculty with orders

Coldwell Banker HPW

Intern

November 2022 - April 2023

• Utilized Google Sheets to track customer data and confirm correctness

• Managed a Facebook group for people relocating to the area, handling posting events and answering questions

2026 NFL ARM Rankings

September 2026

Link

• Developed an R model to rank NFL teams on a 0–10 scale using a 5-factor weighted formula built on play-by-play data

• Built a Quarto dashboard with R visualizations of team ratings, designed to update rankings dynamically with new data

2026 NFL Draft Rankings

April 2026

Link

• Built an R-based player ranking system to evaluate 2026 NFL Draft prospects using weighted statistical models

• Integrated data from PFF API, CSV datasets, and play-by-play data to develop position-specific formulas to rank prospects

YESS Y86 Simulator

September 2025 - December 2025

• Built a Y86 processor simulator in C, implementing a 5-stage pipelined architecture as a final project for a systems course

• Modeled core pipeline stages (fetch, decode, execute, memory, write-back) to simulate instruction execution

• Collaborated through pair programming to design, debug, and optimize simulator functionality

Smaller Projects

Small, visual-first analytics projects using R.

Small Projects