Applied AI/Data Science + MIS / Business Cybersecurity
WVU Chambers Honors '29
I like building things that feel useful, clean, and sharper than the average student project.
What pulls me in most is AI as a field of study and as a toolset. I like learning how intelligent systems actually work, where they break down, and how they can be used in ways that are practical instead of superficial.
That interest overlaps naturally with cybersecurity, business systems, and analytics, which is why I like work that sits between technical depth and real-world usefulness.
Mapping West Virginia's manufacturing base with HTS product-level classification and material transformation checks. Strong research base, but the real draw is the structure and data flow.
Undergraduate researcher supporting data acquisition, methodology validation, and the research pipeline while staying close to applied analysis.
Collaborating with a graduate researcher on how central bank digital currencies could affect remittances and financial inclusion. It keeps the research side alive without taking over the whole site.
If you want to talk AI, cybersecurity, analytics, or roles that sit between business and technical work, email is the fastest way to reach me.