SQL Product Sales Analysis

This project demonstrates how SQL can be used to analyze product sales performance across multiple dimensions.
Each SQL file represents a distinct business query, enabling modular, question-driven analysis.

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Key Analysis Performed

• Monthly Sales Performance → Track revenue trends over time
• Revenue by Customer Type → Compare retail vs wholesale contributions
• Revenue by Product Type & Sales → Identify top-performing product categories
• Revenue by Region → Understand geographical sales distribution
• Total Product Sales → Overall sales by product
• Total Revenue → Consolidated revenue snapshot

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Tech Stack

• SQL (MySQL Workbench) → Querying, aggregation, joins, grouping
• Excel (.csv/.xlsx) → Input dataset for analysis
• Relational Databases → Business intelligence & reporting

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Outcome

• Delivered granular insights across product, region, and customer segments
• Built a reusable SQL query library for business reporting
• Provided a foundation for data-driven sales strategies

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Project Structure

├── LICENSE                               # License file  
├── Monthly Sales Performance.sql         # Query for monthly sales trends  
├── Product-Sales-Region.csv.xlsx         # Input dataset  
├── README.md                             # Project documentation  
├── Revenue By Customer Type.sql          # Query for customer type revenue split  
├── Revenue By Product Type and Sales.sql # Query for product type analysis  
├── Revenue By Region.sql                 # Query for regional revenue breakdown  
├── Sales Data.sql                        # Base dataset import / cleaning  
├── Total Product Sales.sql               # Query for total sales by product  
├── Total Revenue.sql                     # Query for consolidated revenue