Steve Czarnecki

I'm Steve. I love data science. This is a portfolio website for my personal side projects.

Since sports and data are my two favorite things, my ideas tend to overlap between the two. That's why the majority of these are sports, although I love all Data Science/ML/DL/AI topics.

Contact: sczarnecki1212@gmail.com

GitHub: https://github.com/sczarnec

Projects

Below are my best projects I have to share. All the projects listed here took a lot of effort, but I have them ranked by my favorites. I just give brief descriptions below, but the READMEs are all linked for more information.

 CFB Prediction Model/App

Built a fully deployed workflow that retrieves data from multiple API endpoints, derives features, models CFB games, and outputs weekly results in Streamlit app.

App

README

 NFL Big Data Bowl 26: Deep Learning for Player Movement

Used a Temporal Convolutional Network architecture to predict player movement in the NFL's Big Data Bowl 2026 Kaggle competition.

README

 UltraX Most Demanding Period GPS Research

Researched how you can take a multivariate approach to defining Most Demanding Periods in soccer games through k-means clustering for UltraX, a GPS software company, through a professor at ND.

Final Report

 Dartmouth Football Load Management POC

Used XGBoost and k-means clustering to model player fatigue on gameday. Built a platform for coaches to determine practice schedules based on fatigue scores. (Team project)

README

 PhD Course in Deep Learning Projects

Took a cross-listed PhD course in Deep Learning Classification at ND. These are my projects in computer vision (CNNs), genetic algorithms, and text predictions (transformers).

README

 March Madness Survivor Pool Simulation

Coming soon...