Student performance analysis and visualization using SQL, Power BI, and Tableau
- Project overview: The goal of this project was to analyze student academic data and identify performance trends, subject-wise results, attendance correlation, and overall academic performance using SQL queries and interactive dashboards The final outcome supported actionable insights for academic departments to make data-driven decisions.
Key Responsibilities:
- Collected and imported raw student data (marks, attendance, course details) into a relational database using SQL.
- Designed and normalized relational tables for efficient data storage and easy querying.
- Wrote complex SQL queries to extract insights like:
Top-performing students per subject and semester
Correlation between attendance and academic performance
Pass/fail ratio by department and subject
Year-wise and subject-wise average marks
- Created stored procedures and views to streamline reporting queries.
- Exported SQL query outputs to Power BI and Tableau for visualization.
- Designed interactive dashboards to display:
Department-wise performance
Subject-wise failure rates
Attendance impact heatmaps
Student ranking system with filters (department, semester, subject)
- Presented findings to college faculty, enabling better academic planning and intervention strategies.
Outcome & Impact:
- Enabled faculty to identify at-risk students early based on data patterns.
- Simplified semester report generation with ready-made dashboards.
- Improved performance visibility across departments and helped in targeted mentoring.
Sales Analytics Dashboard (SQL , Power BI ,AWS)
- Objective: Developed comprehensive sales analytics solution for real-time business intelligence
- Data Processing: Cleaned and processed 500K+ sales transaction records from AWS S3 using AWS Glue ETL pipelines
- Database Development: Designed optimized SQL queries to calculate revenue metrics, discount analysis, and category-wise performance indicators
- Visualization: Created interactive Power BI dashboard featuring 15+ KPIs with drill-down capabilities for product sales and regional trend analysis
- Cloud Architecture: Implemented scalable data storage solution using AWS RDS with automated data refresh scheduling via AWS Lambda
- Performance Optimization: Achieved 60% improvement in query execution time through index optimization and partitioning strategies
- Business Impact: Enabled stakeholders to make data-driven decisions resulting in 25% improvement in sales forecasting accuracy