Freelance Data Scientist · E-Commerce & Retail

Your E-Commerce Data Is Sitting on Answers You Haven't Asked Yet

You're tracking clicks, orders, and returns, but the revenue-critical questions (who's about to churn, which products drive lifetime value, why cart abandonment spiked) are going unanswered. I build the ML systems that answer them.

Get a Free Consultation See What I Build

4 years of e-commerce analytics experience

Clear scope and timeline agreed upfront

Remote worldwide · Free first call

E-Commerce Analytics Services

Each service answers a specific revenue question your business is probably asking right now.

Cart Abandonment Analytics

Identify which shoppers are about to abandon, at what stage they drop off, and what behavioral triggers predict recovery, so you can intervene before revenue walks out the door.

PythonBehavioral MLFunnel Analysis

Customer Lifetime Value Modeling

Predict which customers are worth $100 vs. $10,000 over their lifetime, so you invest acquisition budget where it generates the highest long-term return, not just the first purchase.

CLV ModelsRFM AnalysisSegmentation

Product Returns Analysis

Identify which products, demographics, and purchase patterns drive your return rate, and quantify the exact revenue impact so you can fix the right problems first.

Returns MLSHAP AnalysisLogistic Regression

Revenue Decline Diagnosis

When revenue is dropping and you don't know why, I map your data to the root cause. Retention failure, product mix shift, acquisition breakdown, whatever is driving it, we find it.

Root Cause AnalysisPower BICohort Analysis

Results From Real E-Commerce Projects

Specific, measurable outcomes from real client and portfolio work.

28%

Revenue loss from returns identified and root-caused across 42,000+ order items

90%

Revenue decline diagnosed, 85% customer retention failure identified as root cause

9,935

Sessions analyzed to map conversion paths and identify top drop-off points

E-Commerce Projects

Full case studies with methodology, findings, and business impact.

Returns · Python

E-Commerce Product Returns Analysis

Identifying 28% revenue loss from a 15% return rate with SHAP and logistic regression.

Revenue Recovery · Power BI

90% Revenue Decline Diagnosis

Power BI dashboard identifying an 85% customer retention failure as root cause.

Conversion ML · SMOTE

Lead Scoring & Conversion Prediction

95%+ accuracy model predicting purchase likelihood from browsing behavior.

Funnel Analytics · Python

Customer Journey Analysis

Mapping 9,935 sessions to find conversion paths and drop-off points.

Common Questions

What data do I need to have before we can start?

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.

How is working with you different from hiring someone on Upwork?

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.

Do you work with Shopify / WooCommerce data?

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.

How long does an e-commerce analytics project take?

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.

Let's Find Your Revenue Leaks

What Is Your E-Commerce Data Telling You That You Haven't Heard Yet?

Tell me your most pressing data question. First call is free, no pitch, just a conversation about your business and what your data can answer.

Book Your Free Consultation

Remote worldwide · adeyemi@adediranadeyemi.com · Typically respond within 24 hours