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A collection of SQL projects demonstrating database design, data analysis, and ETL processes.

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SQL Projects Portfolio

A collection of SQL projects demonstrating database design, data analysis, and ETL processes.

Projects Done

Analysis of higher education return on investment using comprehensive student loan considerations.

Key Features

  • Dimensional data modeling
  • Complex ETL pipeline
  • Financial calculations and ROI analysis
  • Demographic analysis
  • Interactive dashboards

Technologies

  • PostgreSQL
  • Python (pandas, psycopg2)
  • ETL automation

Future Projects (Planned)

[Retail Analytics System]

  • Customer segmentation
  • Inventory management
  • Sales prediction
  • Vendor performance analysis

[Healthcare Operations Database]

  • Patient records management
  • Treatment tracking
  • Insurance claims processing
  • Staff scheduling

[Financial Transaction System]

  • Account management
  • Transaction processing
  • Fraud detection
  • Reporting system

Technical Skills Demonstrated

Database Design

  • Dimensional modeling
  • Normalization
  • Indexing strategies
  • Constraints and relationships

SQL Features

  • Complex JOIN operations
  • Window functions
  • CTEs and subqueries
  • Performance optimization
  • Stored procedures and functions

Data Analysis

  • Statistical calculations
  • Trend analysis
  • Financial modeling
  • Report generation

Best Practices

  • Query optimization
  • Database maintenance
  • Documentation
  • Version control

Setup Instructions

PostgreSQL Setup

  1. Install PostgreSQL
  2. Create new database
  3. Run schema creation scripts
  4. Import sample data

Project Structure

sql_projects/
├── education_roi_analysis/
│   ├── schema/
│   ├── queries/
│   └── etl/
├── retail_analytics/
└── healthcare_operations/

Contributing

Interested in contributing? Please read the contributing guidelines and submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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A collection of SQL projects demonstrating database design, data analysis, and ETL processes.

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