Hi 👋 I currently work as a Basketball Data Analyst for the Golden State Warriors. I have an M.S. in Applied Data Science from the University of Michigan. I have a B.A. in Psychology and Economics from Northwestern University. My work focuses primarily on building web applications, data pipelines, and data visualizations. In my free time, I enjoy learning new programming languages and cooking recipes. Check out some of my projects below👇
Primary programming languages for day-to-day responsibilities & side projects
Extensive experience working in & around various sides of basketball
Technologies for web application development & version control
I investigated the quantitative side of NBA coach's challenges by calculating the win probability differences between the true outcome and the "counterfactual" outcome. I summarized my findings in an R Shiny app, along with an interactive table to allow the user to explore my database of NBA 2020-21 regular season coaching challenges.
I created two different tools to visualize the potential effects of the Hot Hand in an R Shiny app. The first allows the user to create shot charts of NBA player efficiency changes during hot or cold streaks on 1.2 million shots from the 2015-21 seasons. The second is an interactive table that incoporates raw x-y tracking data on the 2014-16 seasons from SportVU, to divide streaks by closest defender distances.
A composition of some of the external-facing NBA data visualizations that I made at Sports Info Solutions. The vast majority of the visualizations were developed in ggplot, and all of the featured visualizations are linked to the corresponding tweet on the company Twitter account.