Excel Dashboard for Lung Disease Risk Assessment & Outcomes

Excel Dashboard for Lung Disease Risk Assessment & OutcomesExcel Dashboard for Lung Disease Risk Assessment & Outcomes

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chandana A

• Mar 4

I built this Excel dashboard to analyze lung disease risk factors and treatment outcomes using healthcare data. The project focuses on identifying patterns between smoking habits, disease risk, and treatment success. Using Pivot Tables, charts, and interactive filters, the dashboard helps visualize key insights and supports better understanding of health trends.

Tools Used: Microsoft Excel, Pivot Tables, Data Cleaning, Data Visualization.

Data Analysis Data Science Microsoft Excel

Geethasree Naguboina

pro

• 1d

Well structured dashboard. Using Pivot Tables and filters to explore patterns between smoking status and recovery rates is a strong analytical approach.

Raul B

• Mar 3

Key metrics and overview of the Market Intelligence dashboard project.

Data Analysis Data Visualization Market Research Microsoft Excel Microsoft Power BI

Geethasree Naguboina

pro

• 1d

Market intelligence dashboards become much more valuable when the underlying definitions are consistent across datasets. Once those metric definitions are standardized, the comparisons across countries and business lines become far more reliable.

Vikash Chandra

• Mar 3

🏦 Bank Loan Analytics Dashboard | Credit Risk & Portfolio Analysis

Developed a comprehensive 4-page Bank Loan Analytics dashboard to evaluate loan performance, approval trends, borrower segmentation, and credit risk exposure. The solution provides executive-level KPI tracking, detailed risk breakdowns, borrower demographic insights, and loan status monitoring to support data-driven lending decisions.

The dashboard enables financial institutions to:

Monitor total funded vs approved loan amounts

Analyze loan approval and rejection trends

Identify high-risk borrower segments

Evaluate default rates and credit grade distribution

Track loan purpose and repayment performance

This project focuses on transforming raw lending data into actionable insights for risk management, underwriting optimization, and portfolio health monitoring.