Background

I'm (approximately) a np.floor((date.today() - date(1996, 1, 1)).days/365) year old data professional with a passion for solving problems. Here you'll find various information about my background and skill-sets.

Data Scientist and Mathematician

After bouncing around a few engineering disciplines, I graduated from Clemson University in 2018 with my Bachelor's in Mathematics and a minor in Computer Engineering. Four years and two graduate degrees later, I joined The Walt Disney Company's Decision Science division after graduating with my Ph.D. in Mathematics.

There, I grew from a research oriented math student into an industry minded decision scientist. I learned a ton about how, when, and when not to apply my schooling to real, large scale business problems. I developed production grade revenue management systems, managed younger coworkers, and expanded my storytelling skills into high impact, precise communication. After 3.5 years at Disney, I left in 2025 to join Sabre's revenue management arm as a Lead Data Scientist which is where I reside today.

Hobbies and Interests

I thoroughly enjoy studying/thinking/participating in the act of making decisions. That is why even when I am not working, I enjoy engaging in decision science-adjacent fields. For me, these include: watching sports, competing in sports, and playing (competitive) games. Additionally, a more recent interest of mine has been sharing and delivering "technical" content to anyone. On my content page, you'll find some of these writings/side projects which, again, are centered around decision-rich fields such as sports and games.

When I inevitably need to use less of my brain, I enjoy spending time with my wife and family - frequently visiting Disney's theme parks and other pastimes.

Topics of Interest

Here I list a few topics of particular interest along with a rough estimation of my relative familiarity with the topic (10 being my personal most comfortable topic)

Optimal Decision Making 10
Mathematical Programming 8.5
Data Structures & Algorithms 9.5
Revenue Management8
(Deep) Machine Learning 7.5
Python & Code Design9