Drew Boynton

Drew Boynton

Software Engineer

I am a full stack developer with an interest in AI and machine learning.

About Me

Hey, I am Drew Boynton. I have had a passion for almost everything tech since I was a kid. I can remember playing video games with my friends and then looking up YouTube videos and reading about how the tech world worked.

In middle school, I was always on the computer. I would create 3D models for my minecraft character and make graphics that, at the time, I thought were pretty cool.

In high school, I started to learn how to code. I remember watching a YouTube series about creating a game in Unity. Then, I took some start classes in high school, and realized that I loved it. You could create anything and everything, and make an impact on the world.

At this point, I've taken a multitude of classes in college. I've designed and developed a couple of websites, and I've worked on a few projects. I've also taken a lot of classes in AI and machine learning. I've learned a lot about the tech world, and I'm excited to see where it takes me.

As I approach graduation, I'm excited about the oppurtunities ahead and the future of the tech world. This website showcases some of the projects I've worked on, and some of the things I've learned. My contact information is at the bottom of the page, so feel free to reach out to me!

Selected Work

NBA Hall of Fame Predictor 🏀

Interactive machine learning model that predicts NBA players' Hall of Fame chances with 99% accuracy. Features real-time player lookup and detailed prediction analysis using XGBoost trained on 5,250+ players since 1976. Try entering any NBA player name!

PythonXGBoostNext.jsTypeScriptBasketball Analytics
🏀

NBA Hall of Fame Predictor

XGBoost machine learning model trained on 5,250+ players from 1976-2025

99%
Accuracy
5,250+
Players

Search for any NBA player below to see their Hall of Fame prediction

Search from 5,250+ NBA players • Click the screen above to see behind-the-scenes

Advanced Data Cluster Sorting

Project for my Advanced Data Science class. This project was a individual effort to sort data into clusters based on their similarity. We used a variety of data structures and algorithms to achieve this.

PythonPandasGaussian Mixture Models
Advanced Data Cluster Sorting

E-commerce Dashboard

A comprehensive dashboard for managing online stores, featuring real-time analytics, inventory management, and customer insights. Built with a focus on usability and performance.

ReactNext.jsTypeScriptTailwind CSS
E-commerce Dashboard

Simple Fitness (Tracking App!)

A simple fitness tracking app for logging strength training and cardio workouts. Built natively on iOS, which makes this my actual go to app for tracking my workouts.

XcodeSwiftCoreData
Simple Fitness (Tracking App!)