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BGlifee/README.md

Hi there 👋

I'm Hisu - a data enthusiast who loves building predictive models that make sense in the real world.

I enjoy bridging the technical and human sides of data: turning complex results into insights people actually understand and use.

My main stack is Python, pandas, scikit-learn, XGBoost, and I care a lot about clean pipelines, reproducibility, and interpretability.

I've built several ML projects, but my favorites are:

  • Telco Churn Model – end-to-end pipeline + ROI insights
  • NLP Job Segmentation & Taxonomy Mapping – semantic embeddings, clustering, and O*NET / SOC alignment for labor-market analysis
  • Molecular Melting-Point Prediction – scalable scientific ML project (Top 30% Kaggle 🏅)

If you like clarity, collaboration, and thoughtful engineering, you’ll enjoy my work 😊

Fun Facts

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  1. mol-meltingpoint-portfolio mol-meltingpoint-portfolio Public

    🧬ML pipeline for predicting molecular melting points using RDKit features.

    Jupyter Notebook

  2. Labor_Market_NLP_Prototype Labor_Market_NLP_Prototype Public

    📊 Research-driven NLP pipeline for labor-market analysis, using sentence embeddings, clustering, and taxonomy alignment with O*NET / SOC codes.

    Jupyter Notebook

  3. TELCO_CHURN_PROJECT TELCO_CHURN_PROJECT Public

    💰 Probability-based churn prediction pipeline with threshold tuning, risk segmentation, and business-focused evaluation.

    Jupyter Notebook