HBFC Bank's project analyzes 5000 customer records, aiming to convert depositors into personal loan customers. Advanced skills in statistical analysis and tools like Excel uncover key insights, including a 9.6% personal loan uptake. Diverse demographics and strategic findings inform recommendations for future marketing campaigns.

Machine learning project using the Boston Housing dataset to predict median home values. Includes EDA, feature engineering, and linear regression modeling to uncover key drivers of price variation and provide data‑driven insights.

Data-driven target market analysis and strategic recommendations for business growth.