Wyatt Haggard
I'm a senior at TCU studying Accounting and Business Information Systems, with an interest in the intersection of accounting, technology, and digital transformation. My background consists of tax, farm operations, and event facility management, providing a grounded understanding of how businesses function beyond the classroom.
I'm especially interested in the growing role of information systems, data, and automation in modern financial work. With an entrepreneurial mindset and a hands-on work ethic, I'm focused on building a career at the intersection of accounting, technology, and real-world operations.
The projects below came out of that interest. None of them are finished products, and I'm not claiming expertise in any of them. They're the projects I walked away from having learned the most, and I've written them up honestly, including the parts that didn't work.
Education
Texas Christian University
B.B.A. in Accounting and Business Information Systems: Financial Technologies
Experience
Tax Intern
Prepared individual returns with K-1, rental, and oil & gas income in UltraTax CS; managed depreciation schedules and resolved e-file diagnostics through peak season.
Rodeo Maintenance Worker
Ran tractors, skid steers, and water trucks to prepare arenas and grounds for Pro Rodeo events, and kept irrigation and equipment in working order.
Farmhand
Plowed and tilled 365 acres for seasonal planting, maintained 15 acres of pasture and grounds, and handled routine repairs on farm equipment.
Leadership
President
Elected to lead a 190+ member organization, overseeing executive board operations, strategic planning, alumni mixers, and recruitment.
Interests
Tools
Selected work
Ticketing where the resale rules live in the contract instead of the terms of service, a price cap and an artist royalty that execute automatically on every resale. Two contracts running on a testnet, a live marketplace frontend, and a much better understanding of what immutability costs you when you get an interface wrong.
A dashboard for tracking AI infrastructure, capacity, spend, and utilization in one view. Built end to end on my own to see how far I could get turning a messy question into something legible at a glance.
A fraud classifier trained on the IEEE-CIS dataset, wrapped in a dashboard that scores a transaction and shows which features drove the score. Tuned logistic regression beat three other models on held-out ROC-AUC, and the interesting part turned out to be how bad a 68% recall looks once you price the false alarms.
frauddetection-bice.vercel.app ↗Source ↗
