A Brief Introduction

Hey, I'm Spencer, a full-time data scientist and die-hard Knicks (and basketball in general) fan. Much of my life I've lived and breathed all-things basketball, and while getting my degree in data science at the University of Vermont, developed several projects that intersect data science and basketball.

The aspect of data science I find most enjoyable is uncovering patterns in large, messy, and complex systems. That mindset is central to NetStats: this isn’t an inferential platform. Instead, it's an exploratory toolkit to visualize NBA teams and players as dynamic systems. There is more info on this sprinkled throughout the site, so I won’t rant about it all in this introduction.

Something important I want to highlight is that I am not a web developer. Because of that, the architecture underlying this web app probably is a little archaic to those more well-versed in this field. However, I think this is a “good-enough-product” to showcase some of the data science visualizations and analysis I have been curating data for some time.

If you have any tips, recommendations, or feedback about the site, please reach out to me as I am always open to collaboration. You also may notice the “Articles” section is rather sparse right now. I’d love to write articles about NBA analysis regularly, but alas, I am also very busy. If you find an interesting thing while searching through your favorite NBA team’s passing network, or notice something peculiar when comparing their lineup shot charts, write up a short post about it and send it my way for me to upload to the “Articles” section.