Cleaned and analyzed a synthetic

Cleaned and analyzed a synthetic retail sales dataset using Python and Pandas. Loaded and inspected CSV data, standardized text and categories, converted data types, removed duplicate records, handled missing values, recalculated revenue, and validated the cleaned dataset. Performed KPI analysis, revenue analysis by category and city, and monthly revenue trend analysis using Python and Matplotlib. Self-created portfolio project for learning and demonstration purposes.