Credit Risk Scoring Model (Loan Default)

Developed a machine learning model to predict loan defaults and minimize NPAs. Identified key risk drivers such as credit score, loan purpose, and home ownership to guide smarter lending decisions.

Personal Loan Campaign (Customer Acquisition)

Built a classification model to identify depositors most likely to purchase personal loans. Uncovered patterns in income, education, and spending habits to improve marketing efficiency and boost conversion rates.

Customer Churn Prediction (Banking Customers)

Created a neural network model to predict which customers are at risk of leaving the bank. Analyzed demographics, account activity, and product usage to enable proactive retention strategies.

Customer Segmentation Analysis

Conducted a survey-based analysis of students across nanodegree programs on an e-learning platform. Generated actionable customer segments to inform data-driven marketing strategies and boost course sales.

Sales Performance Analysis

Analyzed sales data to uncover product category trends and store profitability. Delivered insights through interactive Power BI dashboards to support Disney Toys' expansion strategy.