GitHub repository: tejasdalvi9/Credit-Risk-Assessment-Model-Using-Spark
Primary language: Jupyter Notebook
Description: Designed and implemented a data pipeline using Hadoop (HDFS), Hive, and Spark (PySpark SQL, DataFrame API) for accurate loan default prediction. Developed and fine-tuned ML models (Logistic Regression, Random Forest, Gradient Boosted Decision Tree) using Spark MLlib, evaluated with ROC-AUC, and created Tableau visualizations for financial insights.