Data Science & Systems Engineering
Agassi Boonprasert
B.S. Data Science candidate at NJIT. Building machine learning pipelines, full-stack applications, and private cloud infrastructure.
About
Education & Background
New Jersey Institute of Technology
B.S. in Data Science
Sep 2022 – Dec 2026 (Expected) | Newark, NJ
Focused on machine learning, statistical methods, and full-stack development. Coursework includes Applied Data Science, Machine Learning, and Statistical Methods in Data Science.
Languages
Certifications
Bloomberg Market Concepts (BMC) — Feb 2024
Portfolio
Featured Projects
Insurance Premium Predictor
Python, XGBoost, scikit-learn, Streamlit, Hugging Face Spaces
End-to-end XGBoost regression pipeline on 200k-row dataset achieving validation RMSE of 843.83. Features 27 engineered temporal/cyclic features and deployed Streamlit app with uncertainty bands.
Wine Cultivar Classification
R (MASS, class, e1071, randomForest)
Comparative study across LDA, KNN, SVM, and Random Forest achieving 100% test accuracy. Identified top 5 chemical predictors using variable importance analysis.
Bionic Reader
Python, FastAPI, SQLite, JavaScript, Nginx, systemd
Reading utility with TTS, Pomodoro timer, and customizable typography. Features 18+ REST endpoints, JWT authentication, and privacy-conscious analytics pipeline.
Private Cloud VPN & Infrastructure
Linux, WireGuard, Nginx, Self-hosted Ubuntu Server
Provisioned independent cloud server with WireGuard VPN tunnel framework. Consolidated deployments with minimal resource footprint and optimized routing latency.
Expertise
Technical Skills
Programming
ML & Statistics
Infrastructure
Frameworks
Text Extraction
Financial
Writing
From the Blog
Thoughts on data, systems, and everything in between.
Recent Notes
DECISION CALLED Dr. Adam Hamawy ftw in NJ district 12th!!!!
Jun 2, 2026Revolution turned critique of said current conditions is the problem. There's a reason why Che is outside and not in a weekly leftist theory reading group.
May 26, 2026commodification of public services is textbook efficiency for the sake of efficiency and it's the most parasitic force of capital.
May 12, 2026