Software Engineer & Data Scientist
Garison Zagorski
Builds things
with data & code
Bridging full-stack engineering with machine learning — turning complex data into elegant, actionable software.
Scroll
01
Skills & Technologies
Languages
Machine Learning
Web / Full-Stack
Infrastructure
02
Projects
Binary classification neural network for detecting anomalies in electrocardiogram data using the ECG5000 dataset.
- Data preprocessing and normalization pipeline
- Model architecture with ReLU/sigmoid activations and dropout regularization
- Overfitting/underfitting diagnosis and hyperparameter tuning
A structured collection of machine learning projects covering a range of techniques and domains.
- Organized subfolders for tools (NumPy, Pandas, linear algebra) and applied projects
- Fraud detection analysis (account takeover, synthetic identity)
- Continuous expansion with finance and classification projects
03
Experience & Education
2026 — Present
Freelance Software Engineer
Self-Employed
Building full-stack web applications for clients. Designed and developed a Design Request Portal for a professional design team — featuring a public intake form with drag-and-drop file uploads, an admin dashboard with filtering and status management, role-based auth, and email notifications via Resend.
2025 — Present
Professional Data Science & Analytics Program
MIT
Intensive program covering machine learning, statistical modeling, data engineering, and applied analytics. Building production-grade models and a portfolio of real-world projects.
2024
B.S. Computer Science
University of Georgia
Core coursework in algorithms, data structures, databases, and software engineering. Capstone projects in full-stack development and data analysis.