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Tim-tran1406/README.md

🧠 About Me

I'm an 18-year-old data scientist studying at the University of Hertfordshire, graduating in November 2026 with a B.Sc. in Data Science. I build end-to-end ML systems that are explainable, deployable, and business-focused — from feature engineering to SHAP insights to production-ready APIs.

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  1. cpu-benchmark-predictor cpu-benchmark-predictor Public

    A machine learning web app that predicts CPU PassMark benchmark scores from hardware specifications using XGBoost.

    Jupyter Notebook 1

  2. depwatch depwatch Public

    Scan a Python project's dependencies and rank the ones that are actually risky.

    Python

  3. fraud-detection-api fraud-detection-api Public

    Real-time credit card fraud detection API. XGBoost model catches 72% of fraud with 50% precision. FastAPI + Discord alerts + Streamlit dashboard.

    Jupyter Notebook

  4. quakescope quakescope Public

    Global earthquake analytics: USGS data, PostgreSQL, data science, FastAPI, and an interactive map.

    Python

  5. ration-iq ration-iq Public

    RationIQ - least-cost feed formulation web app (FastAPI + React + PuLP)

    Python