About Me

Whatever content brought you to my site, here's a little more about me:

• I "caught the bug" in a political science quantitative methods course in college, where I was introduced to using R for basic statistical inference, linear and logistic regressions, etc. I thought it felt like a superpower to be able to work with data and statistics that directly
• I'm passionate about using R and Observable JS to explore datasets and share insightful data products with web technologies like Shiny
• I love building tools to make data more broadly available and accessible (including some of my R packages.
• Laravel has become my go-to weapon for large-scale apps and sites.
• I'm a lifelong motorsports fan, and I maintain a lot of open-source software to make it easier for F1 fans to import and analyze data pertaining to that championship in multiple languages
• BS Political Science '17, Clemson University
• Hobbies/interests:
  • Skiing
  • Hiking
  • Poker
  • flight simulation
• I was the 2020 iRacing Dirt Limited Late Model Season 3 Division 4 champion

Tech Stacks

Data Science

• R and Tidyverse
• H2o.ai open-source: JVM auto-ml, gradient boosting, and neural networks for R and Python
• Keras/Tensorflow: neural networks
• Observable JS notebooks and D3 for custom visualizations

Web

• PHP + Laravel + PostgreSQL + Livewire + Tailwind
• Statamic CMS

Resume

my resume is available here

You can also follow the LinkedIn and Github links in the footer to learn more about what I've been up to in my years in tech working for innovative companies.

Featured Visualization

Distance Traveled by Daytona 24 Hour Race winners w/ Linear Regression

Credit: Rolex 24 at Daytona Winners by Alex Kraieski