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Hi!

Welcome to my (little) corner of the web!

Hi, I’m Brian. I am a sports fan, data nerd, data scientist, and programming and computing enthusiast. For more details on me, click on the About tab (or just click on the link :)).

On my site, you’ll find my musings on various topics, such as sports, technology, and data. Whether I’m talking about something in the world of sports, reading about something interesting, or exploring something else, this is where I like to write about things that interest me.

Check out my portfolio of programming adventures! For more on my projects, click on the Projects tab. Most of my personal projects are sports-focused, as that is a main interest of mine. Additionally, sports provide me a fun way to learn programming by way of applying my sports knowledge.

Thanks for dropping by!

This site is built on a cool tool called Hugo. I am a fan of simple, truly minimalist websites, and Hugo permits some cool templating that I find fun and effective to work with. For more on the website (as a personal project), check out this page. I am using the Paige theme.

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My Writings

Here are some writings that I have done on various topics. Some of these are older (as seen in the date), and came from my old personal website.

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My Projects

As mentioned on my about page, I have had a lot of fun maintaining projects and applying what I have learned to things that I am interested in. My “main” project has been ballmart, which is an end-to-end (data gathering to prediction) college basketball project. You can read more about that project specifically by following that link. A project that I undertook during the Coronavirus pandemic in 2020 (that also coincided with and was used for some Master’s program work) was a CS:GO predictive model that gathered match data for Counter-Strike esports, and made predictions on the outcomes of upcoming matches.

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Pages

About me

Hi, my name is Brian, and thank you for stopping by my website! I have a lot of fun making and running this site. Day to day, I strive to be what I call a “full stack data developer”. I am a data scientist by education, holding my Master’s degree in Applied Statistics. Currently, I work as a data and analytics engineer, developing data pipelines and patterns that make data available (and easy to use) for my coworkers and teammates.

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