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Sahil-Sapare/README.md

Hi, I'm Sahil 👋

🎓 MRes Machine Learning student at Imperial College London with a background in Physics.

🔬 I'm interested in applying machine learning to scientific and real-world problems, particularly where mathematical modelling and data-driven methods intersect.

📌 Here you'll find projects exploring machine learning, data analysis, and the occasional physics-inspired idea.

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  1. uk-housing-analytics uk-housing-analytics Public

    Analytics pipeline over 31M+ UK property transactions: PostgreSQL schema, analytical SQL, and a Power BI dashboard on regional prices and affordability.

    SQL

  2. Reconstructing-Atmospheric-Neutrinos-at-DUNE Reconstructing-Atmospheric-Neutrinos-at-DUNE Public

    Classification & Machine learning on atmospheric neutrino physics data.

    Jupyter Notebook

  3. credit-default-mlops credit-default-mlops Public

    End-to-end ML system for credit-default prediction: trained & tracked with MLflow, served via FastAPI, containerised with Docker, deployed on AWS.

    Jupyter Notebook