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sergioiglesias1/README.md

Hey there! 👋

I’m Sergio, an economist exploring the world of data science 📈.

I work with datasets to uncover insights and build predictive models 💻.

I've worked on several projects, but my favorite one is bank-campaign-predictor.

I’m always learning new techniques, experimenting with projects, and looking for ways to collaborate on data-driven solutions.

This is a fresh profile where I’ll be sharing my projects and experiments, all built from scratch and fully documented.

Tech Stack

  • Languages: Python, R
  • Databases: PostgreSQL, MongoDB
  • Libraries: Pandas, NumPy, Matplotlib, Seaborn, scikit-learn, TensorFlow (Keras), SciPy, LightGBM
  • Other Tools: Git, Jupyter Notebook, Power BI, gretl

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  1. bank-campaign-predictor bank-campaign-predictor Public

    Machine learning project to predict client subscription for bank term deposits, comparing multiple classification models.

    Jupyter Notebook 1

  2. credit-risk-modeling credit-risk-modeling Public

    Pipeline credit risk model estimating Expected Loss (PD × (LGD/100) × EAD) on a loan portfolio.

    Jupyter Notebook 1