

2024
Excel Projects: Data Cleaning, KPI Analysis, and Interactive Dashboards
These Excel projects showcase advanced skills in data cleaning, KPI analysis, and interactive dashboards with actionable business insights. From analyzing labor statistics to uncovering revenue opportunities, they are designed to inform business strategy and improve outcomes.
Overview
These Excel-based projects demonstrate advanced skills in data cleaning, KPI analysis, and interactive reporting. Each project takes raw data and transforms it into interactive, filterable dashboards that provide business-ready insights. From analyzing labor statistics to uncovering revenue opportunities, they are designed to inform business strategy and improve outcomes.
US Labor Statistics Dashboard
This dashboard explores employment and wage trends across various U.S. industries, offering insights into labor market data.
Data Cleaning & Structuring: Cleaned and organized labor market data for easy analysis.
Dashboard Development: Built a dynamic dashboard using Power Pivot, slicers, and calculated fields.
KPIs & Interactivity: Enabled toggling between key metrics like annual wage and employees per 1,000.
Visual Insights: Visualized long-term trends and state-by-state comparisons using maps and charts to make data interpretation simple and actionable.
Toy Company Revenue Dashboard
This interactive dashboard analyzes industry-specific labor data, providing insights into wage and employment metrics across different states and years.
Data Structuring: Cleaned and structured raw datasets to enable seamless filtering.
Dynamic Reporting: Created pivot reports and dashboards to compare wage and employment metrics.
Trend Analysis: Delivered interactive visuals showcasing state-wise, yearly, and industry-specific trends.
Custom KPIs: Incorporated custom formulas and KPIs to track workforce patterns across sectors, enhancing decision-making.
Booking Company: Revenue Loss Mitigation
This project focuses on uncovering revenue opportunities by analyzing booking and cancellation behavior, with a goal of reducing losses.
Behavioral Analysis: Investigated seasonal and behavioral patterns in reservation data to spot costly trends.
Key Insights: Identified that 83% of cancellations occurred >30 days in advance, offering key leverage points for strategy.
Reporting & Visualization: Used conditional formatting, PivotTables, and formulas to highlight critical insights.
Strategic Recommendations: Built a dashboard to track metrics like revenue loss, cancellation rates, and loss by timing. Suggested overbooking short-term reservations during the summer to mitigate high cancellation periods.
Outcome
These projects not only highlight technical proficiency in Excel but also demonstrate the ability to convert raw data into insightful, interactive dashboards that drive strategic decisions. By applying tools like Power Pivot, PivotTables, and conditional formatting, I’ve been able to create clear, actionable reports for reviewing business metrics.



