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Bilalharoon/README.md

Hi there 👋

I’m Bilal — a Data Science student focused on applied machine learning and real-world data problems. I love solving open-ended problems and turning messy, real-world raw data into actionable and practical insights.

• Built leakage-safe ML pipelines on longitudinal competition data
• Designed interpretable models with strong temporal constraints
• Interested in feature engineering, evaluation, and model reliability

Tech: Python, Pandas, scikit-learn, LightGBM, SQL

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  1. competitive-performance-prediction competitive-performance-prediction Public

    Leakage-safe pre-match win probability modeling using longitudinal competition and rating data.

    Jupyter Notebook

  2. CERN-Collider-Event-Classifier CERN-Collider-Event-Classifier Public

    The final project for DATA 3402 using higgs boson collider data

    Jupyter Notebook 2 1

  3. HousingDataScraper HousingDataScraper Public

    A modular Python pipeline for scraping, cleaning, and exporting real estate listing data for analysis and modeling.

    Jupyter Notebook