pauljhawron,Paul J. Hawron,github

👋 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

NBA Trends EDA | An Exploratory Data Analysis of NBA trends with Python.
NBA Team Success Analyses | An ML project categorizing NBA team success and player valuations using SAS Viya.
Rumble Kong League (RKL) Boost Analysis | An analysis of RKL NFT sales based on their attributes using Python.

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

Paul J. Hawron's Projects

bar-service-analysis

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.

json-metadata-rename

Quick script to rename some JSON metadata for an NFT collection

nba-stat-predictions

NBA player predictions for team matchups

nba-team-success-analyses

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.

nba-trends-eda

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.

opensea-api-test

Playing around with the OpenSea API

rkl-boost-analysis

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

rkl-division-distribution-theory

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 look like.