Performed exploratory data analysis (EDA) to understand key factors influencing home loan approval, such as income, credit history, and loan amount. Cleaned and preprocessed the dataset using Python to handle missing values, encode categorical variables, and ensure data quality for analysis. Created clear visualizations to communicate insights and support data-driven recommendations for loan approval decisions.