Data Analytics · Business Intelligence

E-Commerce Sales Analysis Dashboard

An end-to-end e-commerce sales analytics project using SQL, Python, and Power BI to uncover sales patterns, customer demographics, and category performance.

Reported Metrics

83.47MTotal Sales Analyzed
66K+Orders Evaluated

These figures are reported from the existing project description. They are not live application statistics.

Analytical Areas

  • Customer demographics
  • Product category performance
  • Payment method analysis
  • Monthly sales trends
  • KPI monitoring
  • Business insights
  • Dashboard reporting

Technologies Used

SQLMySQLPythonPandas Power BIPower QueryDAX MatplotlibSeaborn

Project Resources

No live application URL exists for this project.