🚀 Portfolio Project: E-Commerce Data Pipeline & Analytics (PostgreSQL)
Processed and analyzed ~500,000 raw transactional logs from the Online Retail II dataset to clean messy operational records and extract executive business intelligence metrics.
💡 Key Highlights:
Data Staging & Cleaning: Engineered custom transaction flags (SALE vs RETURN), deduplicated raw records, and stripped non-inventory fee entries (AMAZON FEE, POSTAGE).
Executive Metrics: Isolated $426.07K in Net Revenue across 5,266 distinct orders, evaluating an overall 13.1% return rate.
Customer Lifetime Value (CLV): Segmented Registered vs. Guest checkouts, uncovering top-tier accounts with $27,000+ in lifetime spend.
🚀 Portfolio Project: E-Commerce Data Pipeline & Analytics (PostgreSQL)
Processed and analyzed ~500,000 raw transactional logs from the Online Retail II data...