Most e-commerce businesses have more usable data than they realize. At minimum, I need order history (customer ID, product, date, price, status). Anything additional — website sessions, marketing spend, customer demographics — improves what we can build. We'll assess what you have on the discovery call and I'll tell you exactly what's possible.

Most data science work on platforms like Upwork produces technically correct outputs that don't connect to business decisions. I start from the business question — what revenue problem are we solving? — and work backwards to the analysis. The deliverable is insight your team can act on, not a notebook that requires a data scientist to interpret.

Yes — both platforms export clean, analyzable data. Shopify's built-in reports are limited; the real power comes from analyzing the raw order and customer data in Python or connecting it to Power BI. I've worked with data from both platforms and can walk you through the data export process if needed.

A focused analysis (e.g., product returns root cause, cart abandonment audit) typically takes 1–3 weeks. A full ML system (churn prediction model, CLV model with scoring pipeline) takes 3–6 weeks. I'll scope the timeline precisely after seeing your data.