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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. HousingDataScraper HousingDataScraper Public

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

    Jupyter Notebook

  3. NFLVentureCapitalist NFLVentureCapitalist Public

    Draft pick predictor for NFL in terms of Draft Value

    Jupyter Notebook

  4. CodingAdventures CodingAdventures Public

    A .NET blog about back-end concepts made in VuePress deployed through CI/CD pipeline using Github hooks

    JavaScript