E-commerce Analytics | Power BI

Analyzed the Brazilian E-Commerce Public Dataset by Olist (99,441 orders, 96,096 customers) using Power

BI, applying the RFM model with DAX-calculated scores to segment customers into meaningful categories

based on their purchasing behavior, built on a Snowflake Schema spanning 8 interconnected tables.

Developed three interactive dashboards covering customer segmentation, city-level payment method

analysis using an advanced DAX-based calculated table, and delivery performance tracking