About

A production-grade retail sales analytics pipeline that generates synthetic data with intentional quality issues, cleanses and engineers features across 2,000+ orders, computes 8 executive KPIs (revenue, profit, segmentation), and outputs publication-ready visualizations and a 7-page PDF report. The workflow demonstrates end-to-end data engineering: synthetic data generation → schema validation → cleaning (nulls, duplicates, type coercion) → feature engineering (revenue, margins, customer lifetime value) → KPI computation → multi-chart visualizations and executive reporting.