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pauljhawron/README.md

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👋 About Me

I'm Paul, a data scientist and software developer who loves learning about everything from sports analytics to blockchain development. Welcome to my GitHub page, full of miscellaneous projects that I've put some time into over the years.

If you want to learn more about my professional journey, check out my LinkedIn.

📒 My Projects

Here are some of my repos and projects in a more organized way.

Data Projects

Web3 Projects

  • Solana NFT Mint Site | A simple NFT mint site that integrates with the Solana blockchain via JavaScript connectors.

Miscellaneous

  • Solana API Test | Experimenting with various Solana-based APIs in Python to brainstorm project ideas.

📊 My Stats

GitHub Streak

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Popular repositories Loading

  1. the-whitelist-project the-whitelist-project Public

    The Whitelist Project is a collection of 999 whitelist tickets to be used for exclusive access to Solana NFT mints.

    JavaScript 1

  2. rkl-boost-analysis rkl-boost-analysis Public

    In this, I take to analyzing the buying patterns of Rumble Kong League (RKL) NFTs on the OpenSea marketplace.

    Jupyter Notebook

  3. rkl-division-distribution-theory rkl-division-distribution-theory Public

    This is not as much a typical data science project as it is an enhanced exploratory data analysis to theorize the way the upcoming RKL game might be structured, and what different outcomes would lo…

    Jupyter Notebook

  4. nba-trends-eda nba-trends-eda Public

    This project is from a class I took during undergrad to apply the basics of Exploratory Data Analysis in Python. I used NBA data to explore some trends over time.

    Jupyter Notebook

  5. bar-service-analysis bar-service-analysis Public

    This project was for a predictive analytics class during undergrad, in which my team served as consultants for a large entertainment venue looking to improve their bar throughput and revenues.

    Jupyter Notebook

  6. nba-team-success-analyses nba-team-success-analyses Public

    This project is from my Analytics Practicum during grad school. It is a handful of analyses used to explore some NBA team success and player contract valuation using Python and SAS Viya.