Analyzed the relationship between income levels and credit limits using a dataset of 10,000+ bank customers, applying statistical modeling and multivariate regression to uncover key financial insights.

Developed predictive models to quantify the impact of demographic variables (age, education, gender, marital status) on credit limits, revealing significant disparities and financial behavior patterns.

Conducted exploratory data analysis (EDA) and hypothesis testing, identifying a statistically significant correlation between income and credit limits while addressing confounding variables through controlled regression experiments.