Drew Boynton
Software/ML Engineer
I am a full stack developer with an interest in data analysis 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!
NBA Hall of Fame Predictor
XGBoost machine learning model trained on 5,250+ players from 1976-2025
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
ICTML Advanced Trading System 📈
Real-time machine learning trading system achieving 84.4% accuracy in daily market bias prediction for QQQ, SPY, and IWM. Features ensemble models, premium session filtering (9:30-12:00 EST), and daily bias probability vectors.
Loading daily bias predictions...
Live daily bias predictions for QQQ, SPY, and IWM • 84.4% accuracy • Updated daily at 9:30 AM EST • Click the screen above to see model analysis
Mancala AI with Game Theory
Intelligent Mancala game implementing minimax algorithm with alpha-beta pruning optimization. The AI evaluates game states 5 moves ahead, achieving 70-80% win rate against random opponents with 10x performance improvement through pruning. Features Monte Carlo simulation analysis for strategic validation.
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.
CU Boulder Police Department Heatmap
A simple heatmap of the CU Boulder Police Department data and its most common location occurrences.
Simple Fitness (Tracking App!)
A native iOS app for tracking strength training and cardio workouts. Built with Swift and CoreData, this was a fun introduction to iOS development and its ecosystem compatibility.
