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ethanfr10/README.md

Ethan Friedman

Data Analyst | Sports Analytics | Business Intelligence

Business Operations Analyst at A-Z Industries | PFF Data Collector | UW–Madison Data Science & Information Science '25


Welcome to my GitHub Portfolio!

Hi everyone, my name is Ethan Friedman. I graduated from the University of Wisconsin–Madison, where I studied Data Science and Information Science with a minor in Computer Science, and I'm currently working as a Business Operations Analyst.

I've been obsessed with sports for pretty much as long as I can remember. I was always the person looking through stats, comparing players, arguing about teams, and trying to figure out why certain players or teams were better than others. As I got older and started learning more about data science and programming, I realized I could combine the two and actually use data to answer some of the sports questions I'd always been curious about.

Today, I work with data every day, building dashboards, automating reporting, and analyzing business performance using tools like Python, SQL, Power BI, and Excel. Outside of work, a lot of my free time goes toward sports analytics projects. I've worked on projects across football, basketball, hockey, and baseball, and I'm constantly trying to learn something new or find a better way to look at the game.

My ultimate goal is to work in analytics or data engineering for a professional sports organization and use data to help teams make better decisions.


Areas of Experience

  • Sports Analytics
  • Data Engineering
  • Machine Learning
  • Predictive Modeling
  • Statistical Analysis
  • Dashboard Development
  • Business Intelligence
  • ETL & Data Pipelines
  • SQL Query Optimization
  • Data Visualization
  • Python Automation

Technical Skills

Languages

  • Python
  • SQL
  • R
  • DAX

Let's Connect!

If you're interested in sports analytics, data science, or just enjoy talking sports, I'd love to connect.

LinkedIn: www.linkedin.com/in/ethanfriedman10

Email: ethanfr123@gmail.com

Thanks for stopping by!

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  1. NFL-Season-Projections NFL-Season-Projections Public

    An end-to-end NFL forecasting system that projects team strength, game outcomes, season records, and playoff probabilities using team performance, roster movement, coaching changes, schedule contex…

    Jupyter Notebook

  2. NFL-Sack-Prediction NFL-Sack-Prediction Public

    Predicting NFL sacks using play by play data and machine learning

    Jupyter Notebook

  3. Roster-DNA Roster-DNA Public

    NFL scouting application for evaluating player/team fit using roster construction philosophies and scheme preferences.

    Python

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