Education
Carnegie Mellon University
Jackson High School
Work Experience
Orbitform — IT and Data Analytics Intern
- Built an n8n and Python workflow that uses web scraping and AI agents to analyze prospect companies, applying text analysis libraries (Beautiful Soup, Natural Language Toolkit) and matching descriptions against historical records with MySQL text search.
- Created a web tool for the spare parts and tooling team that identified repeat customers overdue to order using BG/NBD modeling.
- Analyzed company-level stock, revealing over $100,000 in dead inventory; proposed adjusting manually entered lead times using historical data to limit inventory.
Lean Rocket Lab — Website Development Intern
- Used Cursor to build an interactive display board for members to access resources, register for events, and more. An admin grid layout controls how large each resource displays and supports adding themes, web pages, timers, and more.
Resale Depot — Data Science Intern
- Created an Arduino Giga R1 display tool to upload donation data to a spreadsheet with timestamps.
- Performed data analysis with Python, Pandas, and Google Spreadsheets on historical economic church data.
Projects
CMU Sports Analytics
- NBA Expansion Draft: Room winners at the Syracuse Basketball Analytics Competition, analyzing the NBA expansion draft with min-max normalized advantage metrics, expected points, and actual points in Python (Pandas, Pyplot), then recommending offensive/defensive patterns and a five-year financial and performance outlook — Presentation, Code
- NFL Two-High Coverage: Analyzed two-high coverages at the Syracuse Football Analytics Competition in Python (Pandas, Pyplot, NumPy), identifying the Cross-Hook-Vertical combination as most effective against Cover 2 and validating it with a film study — Presentation, Code
- Route Lab: A football passing-play simulator where users design formations and routes — Code, Run in Browser
- Do or Die: Used R to analyze the NFL’s two-minute drill — Presentation, Code
Data Acquisition — Carnegie Mellon Racing
- Developed an accessible app to convert binary and MDF files into effective visualizations with Tkinter and Matplotlib.
Skills
Interpersonal: Assumption Based Problem Solving, Focused and Efficient Teamwork, Servant-Based Leadership
Software: Python, SQL, Microsoft Excel, DBeaver, C, VIM, Cursor, Claude Code, CodeX
Statistical: Regression, Clustering (K-Means, Agglomeration), Trees, Random Forests, Effective Visualizations
Events
- GIS Day: Analyzed the correlation of mental health in California with physical health, drinking habits, income, and Gini coefficient using R and ArcGIS — Presentation
- CMU Sports Analytics Conference Attendee and Volunteer: Presenters from ESPN, Google, and other universities.
- Veritas Forum Volunteer: “Is Intelligence Overrated,” with speakers from Yale and Carnegie Mellon.
Leadership Experience
Small Group Leader (InterVarsity) · Leadership Team Member (2611 FRC Robotics) · Senior President (JHS Student Government) · Treasurer (JHS National Honor Society) · Co-Captain (JHS Varsity Soccer) · Co-Founder (JHS Bible Study) · Co-Founder (Interwoven Bible Study) · AV Co-Director (Rivertree Church)