
Data science & applied machine learning
I want to make the world more efficient through intelligent systems. I work with messy data, build models, and turn ideas into tools people can use. Colorado is home; climbing and skiing keep me curious.
Featured work / Colorado, by the numbers
I built a way to explore how Colorado's 14er routes compare: the terrain, the exposure, the steep sections, and what other climbers have experienced.
Route research, Python analysis, interactive similarity maps, and a live community comparison tool. This is where my work in data science meets the mountains I care about.
The 14er Index / Traffic snapshot
300unique visitors
447 visits recorded.
Updated October 8, 2026 · “Last 7 days” view, captured at 8:50 a.m. MDT.
Jon Kunneman helped me dig into the routes and brought his climbing experience to the project. I'm still refining the model, and climbers' comparisons will help shape what comes next.
About
I'm a data scientist and builder based in Conifer, in the Denver area. My goal is to make the world more efficient through intelligent systems: useful models, thoughtful automation, and AI agents that take work off people's plates and help solve real problems.
I earned my bachelor's degree summa cum laude at Purdue Global in May 2024 with a 4.0 GPA. I'm completing the University of Michigan's Master of Applied Data Science, expected May 2027, with a current 3.75 GPA. I've worked part-time at Play to Learn Therapies since May 2022 and currently serve as Chief Data Scientist, building scheduling software and ML-backed therapist–client matching tools. I'm available full-time now for data science and applied ML roles, remote or in the Western U.S., where I can take ownership, keep learning, and build with a good team.
The mountains are a big part of who I am. One of my hardest alpine days was Capitol Peak's Northwest Buttress: a 5.9 trad route with roughly 20 pitches up a Colorado 14er. I've also skied Mont Blanc and Chimborazo. Skiing the Seven Summits is a goal, alongside plenty of other mountain missions.
My recent Michigan team project explores what popular U.S. climbing routes have in common: 97,437 routes, data-quality checks, exploratory analysis, PCA, regression, and a live atlas. A lot of what I love about being outdoors is sharing those moments with people. The 14er Index brings that part of my life together with the work I want to do.
Work
Mountain questions, machine learning experiments, and tools built around real problems. Here's how I work.
Connect
I'm looking for data science and applied machine learning opportunities. If your team has an interesting problem, I'd like to hear about it.
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