Clickstream & Conversion Funnel Analytics
Normalizes raw web/app events into a session & funnel model, tagging steps like view, add-to-cart, checkout, and purchase. Enables drop-off and conversion analysis by channel, device, and campaign.
E-commerce — Data Engineering & Analytics
Projects focused on traffic, product, order, and marketing data — enabling better funnels, personalization, and profitable unit economics.
Featured E-commerce Projects
Product Recommendation & Personalization Mart
Builds a user–item interaction mart from orders, views, and wishlists. Exposes recency, frequency, monetary, category affinity, and co-viewed features for recommendation models.
Returns & Refunds Analytics
Integrates orders, returns, refund reasons, and product attributes to analyze return rates and margin impact by SKU, vendor, and channel. Identifies high-defect and high-return items for catalog and quality actions.
Marketing Attribution & Unit Economics Analytics
Joins ad spend, sessions, and orders into a model for CAC, LTV, ROAS, and payback by channel and campaign. Supports multi-touch attribution scenarios and channel optimization.
Dynamic Pricing & Inventory Health Analytics
Combines inventory, sales velocity, and competitor price feeds into a pricing analytics mart. Computes price elasticity signals, days-of-stock, and markdown suggestions for merchandizing teams.
What this demonstrates
- End-to-end e-commerce data modeling across traffic, product, and orders.
- Building growth and profitability analytics for funnels, returns, and unit economics.
- Preparing feature stores for recommendations, personalization, and pricing models.