I built a Global Superstore sales and profit dashboard in Power BI to evaluate profitability, revenue drivers, and regional performance across 51,000+ transactions. Custom DAX measures and dynamic category slicers make the core KPIs available for self-service analysis.
The analysis identified Technology as the leading profit driver and traced Furniture’s weaker margins to shipping overhead, highlighting an area for cost review.
For an insurance performance and risk dashboard, I developed an interactive Excel report covering 5,000 policies across Auto, Health, Life, and Property. I cleaned and modeled five linked datasets with Power Query, then used Pivot Tables and KPI slicers to connect the charts.
I found Health led in both premiums and claims, and flagged high-risk customer segments using risk scores. I’m currently completing Data Analyst training at ExcelR, applying SQL, Excel, Power BI, Tableau, and Python to real-world datasets.
