CourtViz
Full-stack NBA & CBB analytics — from raw tracking data to interactive dashboards.
My name is Brian Papiernik — a sports data scientist with experience across baseball, basketball, and multi-sport performance analysis. I've worked as a Baseball Technology Operator for the Tampa Bay Rays, a Baseball Student Manager with Notre Dame Baseball, and hold a Master's degree in Sports Analytics from Notre Dame.
I specialize in building end-to-end analytics pipelines, predictive models, and interactive tools for evaluating players and strategies. CourtViz is where I bring together my passion for sports, data, and clean design.
↓ Download ResumeCourtViz was created as a sports analytics project to deliver powerful insights across all levels of sports and competition. The first step was launching a full-stack website to showcase the entire analytics pipeline — from back-end data collection and storage to front-end interactive visuals.
Features include dynamic player dashboards and a Player Finder tool that helps identify undervalued players and uncover strengths and weaknesses based on data-driven metrics. The vision is to expand across multiple sports while refining tools that support performance analysis, roster construction, and scouting.