Developed a machine learning model to predict loan default probability using customer credit and transaction data.
Performed data cleaning, EDA, and regression modeling to predict property prices and reveal market insights.
Analyzed sales trends, seasonality, and store performance to identify factors driving revenue growth and demand patterns.
Used SQL to explore global music patterns, track popularity trends, and derive insights from large streaming datasets.
Created an interactive Power BI dashboard to visualize employee attrition, satisfaction, and performance metrics.
Analyzed hotel bookings, cancellations, and revenue metrics to surface week-over-week trends and occupancy insights.
