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sergioiglesias1/README.md

Hi there 👋, I'm Sergio Iglesias

  • I'm an Economist with a quantitative background driven by econometrics and data science

  • 👨‍💻 I work with datasets to detect patterns and build predictive models

  • I'm always learning new techniques, experimenting, and looking for ways to collaborate on data-driven solutions

  • All projects are built from scratch and fully documented

Tech Stack

💻 Languages

Python R

🗄️ Databases

PostgreSQL MongoDB

📚 Libraries

Pandas NumPy SciPy Matplotlib Seaborn
scikit-learn TensorFlow LightGBM Streamlit

🔧 Tools

Git Jupyter Power BI Gretl

🔍 Areas of Interest

  • Machine Learning
  • Predictive Analytics
  • Statistical Modeling (econometrics, A/B testing, causal inference)
  • Time Series Analysis (ARIMA, SARIMA, VAR, forecasting)
  • Multivariate Regression Analysis
  • Clustering & Customer Segmentation (k-means, hierarchical clustering, unsupervised learning)

Pinned Loading

  1. credit-risk-modeling credit-risk-modeling Public

    Python credit risk model on Lending Club data that estimates Expected Loss using PD, LGD and EAD. It models default probability and loss severity through classification and regression.

    Jupyter Notebook 1

  2. income-segmentation-r income-segmentation-r Public

    Statistical segmentation of countries using R that performs global income segmentation using WDI indicators. It identifies patterns through clustering and dimensionality reduction to group countrie…

    R 1

  3. 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