SQL Projects
This section demonstrates my expertise in database analysis, query optimization, and business intelligence using SQL. These projects showcase advanced SQL techniques applied to real-world business scenarios.
🗄️ Featured Projects
Music Store Analysis
Objective: Comprehensive analysis of a digital music store’s database to derive business insights and answer key business questions.
Technologies: SQL, PostgreSQL, Data Analysis Key Areas:
- Customer behavior analysis
- Sales performance metrics
- Revenue optimization insights
- Geographic sales patterns
- Music genre popularity trends
🎯 Project Highlights
- Complex query development with joins, subqueries, and CTEs
- Business intelligence reporting and KPI calculation
- Data aggregation and statistical analysis
- Performance optimization of SQL queries
- Database design understanding and normalization
📊 Skills Demonstrated
- Advanced SQL: Window functions, CTEs, complex joins
- Data Analysis: Statistical aggregations and business metrics
- Query Optimization: Efficient query writing and performance tuning
- Business Intelligence: Converting data into actionable insights
- Database Management: Understanding of relational database concepts
🔍 Analysis Focus Areas
- Customer Segmentation: Identifying high-value customers
- Sales Trends: Temporal and geographic sales analysis
- Product Performance: Track and album popularity metrics
- Revenue Analysis: Profit margins and growth opportunities