Explores how customer spending intensity changes when adjusted for local income levels. Identifies overspending and behavioral outliers across income brackets using SQL and Tableau. Reveals which customer segments drive disproportionate or unstable spending patterns.

Developed an industry-level forecasting framework to help retailers plan under uncertainty. The analysis measures volatility, forecast reliability, and the impact of supply and demand shocks.

Analyzed over 100,000 Olist marketplace orders to reveal regional sales trends, delivery performance gaps, and freight inefficiencies across Brazil, using SQL and Tableau.

Analyzed Fitbit user behavior over 30 days to uncover trends in sleep and activity, helping Bellabeat tailor product features and boost user engagement.

Analyzed real data analyst job postings to reveal where high demand meets high pay. This project highlights which skills drive the strongest career opportunities and helps professionals prioritize learning paths that maximize long-term value.