A curated collection of real-world Power BI dashboard projects focused on business intelligence, data modeling, DAX calculations, KPI tracking, and interactive data visualization. These projects demonstrate practical skills used in Data Analyst and Business Intelligence roles, including data preparation, analytical reporting, and stakeholder-focused insights.
├── Airline Data Management and Analysis.pbix
├── Airline Data Management and Analysis.pdf
└── README.md
An end-to-end Power BI analytics project designed to evaluate e-commerce business performance by analyzing sales, profitability, customer behavior, and regional trends. The dashboard enables data-driven decision-making through KPI tracking, trend analysis, and interactive visual exploration.
Key Highlights:
- Built KPI-driven dashboards to monitor sales, profit, profit margin, and order volume
- Performed time-series analysis to identify monthly sales and profit trends
- Conducted regional and geographic analysis using interactive maps for state-level insights
- Analyzed segment-wise and category-wise profitability to assess business performance
- Delivered customer-level analytics to identify high-value customers and contribution to revenue
- Implemented product-level order analysis to highlight top-performing products
Tools & Skills:
Power BI, Power Query, Data Cleaning & Transformation, Data Modeling, DAX Measures, KPI Design, Time-Series Analysis, Geographic Analysis, Interactive Dashboards, Business Intelligence
An end-to-end Power BI analytics project focused on analyzing insurance policy and claims data to assess risk exposure, identify claim behavior patterns, and evaluate customer and vehicle-related risk factors. The dashboard supports underwriting, pricing, and risk management decisions through KPI-driven and interactive analytics.
Key Highlights:
- Developed KPI-driven dashboards to analyze total policies, claim amounts, claim frequency, and average claim value
- Performed claims trend analysis over time to monitor risk exposure and cost patterns
- Conducted vehicle-level analysis by usage type, car make, and car year to identify high-risk categories
- Delivered coverage zone and geographic insights to assess regional risk concentration
- Executed customer risk profiling based on age group, education level, marital status, and gender
- Enabled interactive exploration using slicers and dynamic visuals for decision support
Tools & Skills:
Power BI, Power Query, Data Cleaning & Transformation, Data Modeling, DAX Measures, KPI Design, Time-Series Analysis, Risk & Claims Analytics, Interactive Dashboards, Business Intelligence