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 β end-to-end pipeline + ROI insights
- Wine Quality Prediction β model comparison + real understanding
- Molecular Melting-Point Prediction β scalable scientific ML project (Top 30% Kaggle π )
If you like clarity, collaboration, and thoughtful engineering, youβll enjoy my work π
Fun Facts
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I love learning new tools and improving workflows
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Currently exploring SQL, FastAPI & MLOps
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Coffee + coding = perfect day βοΈπ»
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