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This project analyzes data provided by the organization i data, which discusses the collection process of a financial company. This with the objective of generating segmentation strategies that allow the recovery of the portfolio.

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jcardonamde/reto_cobranzas_sector_financiero

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Challenge Financial Sector

The financial sector use case shows a collection process for clients who are currently in default (non-payment) of their financial obligation (credit). In each row, the management developed by the lawyer and the result of the management are recorded. It is important to analyze the main causes of default and define portfolio recovery strategies based on the client profiles identified.

💻📚 Libraries used: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn.

🔬🎯 Applied models: KMeans.

📝 Presentation summary here

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This project analyzes data provided by the organization i data, which discusses the collection process of a financial company. This with the objective of generating segmentation strategies that allow the recovery of the portfolio.

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