Unleashing the
Power of Data

Welcome to my Data Analytics Portfolio where I change raw data into valuable information. Helpful tools like SQL, Python, R, Tableau and Power BI aid me in this task. I deal with database management, tidying, and data analysis as part of my work. Furthermore, I create appealing visual representations. Essentially, my task is to use data to help make decisions.

Check out my projects to see how I combine technical skills and love for data, providing complete solutions that help to understand and act on complicated data.

Bank Loan Analytics Dashboard

This study provides an exhaustive examination of bank loan application data, with SQL as a data interrogation and preparation tool. The analysis is continuously conveyed through dashboards made in Excel, Power BI, and Tableau, each showing my competence in these tools. The insights into loan performance, trends, and borrower demographics remain the same, but the use of different tools highlights my versatility in data visualization and analysis.

Workflow Highlights

SQL Analysis: Data extraction, cleaning, and preparation were conducted using SQL. Key metrics like total loan amounts and average interest rates were calculated.
Excel Dashboard: A high-level summary of key metrics visualized using Excel's pivot tables and charts.
Power BI Report: Interactive dashboards allow for dynamic exploration of loan data, with filters for various categories.
Tableau Visualizations: Advanced visualizations highlight trends and patterns, providing an intuitive analysis of the loan data.

For a detailed walkthrough of the project, including SQL scripts and downloadable files, visit the GitHub Repository.

Tableau Visualization

The Tableau dashboard provides a detailed analysis of bank loan data, including loan distribution, approval rates , and borrower demographics.(View on full screen)

Power BI Report

This Power BI report provides the same insights as the Tableau dashboard but leverages Power BI's interactive capabilities for real-time data exploration.

Excel Dashboard

The Excel version of this analysis provides a traditional approach to data visualization, demonstrating my ability to create dashboards and reports using Excel's powerful features.

Conclusion

The analysis across multiple platforms Excel, Power BI, and Tableau provided consistent insights into the bank's loan portfolio:

Loan Performance: The majority of loans are performing well, with a significant portion being fully paid or in good standing.
Risk Areas: A small percentage of loans are at risk, as indicated by high debt-to-income ratios and lower credit grades.
State-Level Insights: Loan distribution varies by state, with certain states showing higher rates of loan applications and approvals.
Loan Purpose: Debt consolidation remains the most common reason for loans, followed by home improvement and small business funding.
Interest Rates: Interest rates are generally higher for loans with longer terms and lower credit grades.

Overall, the analysis helps in identifying trends, assessing risk, and understanding the demographics of borrowers, which are crucial for making informed lending decisions.