E-Commerce Data Analysis Project: Olist Market Insights

A comprehensive data analysis project focused on the Olist E-Commerce dataset. The project follows a complete data pipeline to extract actionable business insights:

Phase 1 (SQL): Extracted and joined complex relational data, aggregating monthly sales trends and order volumes.

Phase 2 (Excel): Performed data cleaning, statistical refinement,and calculated key performance indicators.

Phase 3 (Python): Developed automated visualizations using Matplotlib and Pandas to identify geographic sales hubs and seasonal growth.

Key Deliverables: A professional presentation summarizing market performance and strategic recommendations.