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Developed a credit risk assessment model using Python and Jupyter to analyze loan data and improve approval accuracy. Built scalable data pipelines and a predictive modeling framework with Pandas and NumPy. Used correlation analysis to identify key repayment factors, shaping a new credit scoring model. Created visualizations with Matplotlib,Seaborn

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