Clustered customer data using K-Means and hierarchical clustering to identify distinct behavioral segments. Generated actionable insights for targeted marketing strategies.

Exploratory data analysis on Iowa's statewide liquor sales dataset. Uncovered sales trends, top-performing products, and geographic distribution patterns across counties.

Interactive Power BI dashboard tracking KPIs including revenue, customer acquisition cost, conversion rates, and product performance across multiple sales channels.

Framework for evaluating data quality across six dimensions: completeness, consistency, accuracy, timeliness, uniqueness, and validity. Built scoring algorithms for automated assessments.

End-to-end analysis pipeline measuring marketing campaign ROI across digital channels. Includes attribution modeling, cohort analysis, and revenue forecasting.

Optimization model for supply chain logistics using linear programming and simulation. Reduces inventory holding costs and improves order fulfillment efficiency.