Hi, I'm Parker Jackson

Software Engineer & Machine Learning Developer

A computer science and engineering enthusiast specializing in full-stack development, machine learning, and data-driven solutions. Passionate about building scalable systems and applying ML techniques to solve complex problems.

Parker Jackson Avatar

About Me

I'm a software engineer focused on building robust applications using modern frameworks and machine learning techniques. My work spans web development, predictive modeling, and data engineering. I enjoy applying computational thinking to real-world challenges, from sports analytics to public safety visualization.

Technical Skills

Languages

Python C JavaScript Java SQL

Web Development

HTML5 CSS3 Flask

ML & Data Science

scikit-learn XGBoost TensorFlow Keras pandas NumPy

Tools & Platforms

Git PostgreSQL

My Projects

MLB Game Prediction Model

Machine learning model predicting MLB game outcomes using historical data (2015-2025). Implemented multiple algorithms including Logistic Regression, Random Forest, and XGBoost, achieving ~56% test accuracy with ROC-AUC of 0.57. Features differential statistics between teams and park factors.

Python scikit-learn XGBoost pandas
Bucknell Public Safety Reports Icon

Bucknell Public Safety Reports

Full-stack web application for analyzing and visualizing public safety incident data at Bucknell University. Built with modern web technologies to provide interactive data exploration and insights.

JavaScript HTML/CSS Data Viz

Aaron Judge Home Run Forecasting

Statistical forecasting project using Monte Carlo simulations to predict Aaron Judge's 2025 home run total. Implemented multiple simulation methods for academic research in forecasting techniques.

Python Monte Carlo Statistics

Get In Touch

I'm always open to discussing new opportunities and interesting projects.