I will detect fraud and chargeback risks in your shopify or woocommerce store
Fraud and Anomaly Detection for Ecommerce, Powered by Data Science
About this Gig
Are you losing money to chargebacks or fraudulent orders you can't predict?
I build fraud and anomaly detection models specifically for e-commerce businesses using the same machine learning techniques applied in banking and fintech, adapted to work for stores of any size.
What you get:
- Analysis of your order/transaction data to identify suspicious patterns
- A clear, plain-language explanation for every flagged transaction no confusing charts, no technical jargon
- Practical recommendations you can act on immediately
This is not a generic "AI report." I focus specifically on transaction-level fraud patterns: order velocity, address mismatches, unusual purchase behavior, and more.
Fluent in English and Spanish happy to work with either.
Programming language:
Python
•
R
•
SQL
•
MLflow
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
Excel
•
Stata
•
RStudio
My Portfolio
FAQ
Do I need to share sensitive data?
You only need to share anonymized transaction data (order ID, amount, timestamp, email domain, shipping/billing info) — no need to expose customer names or payment details.
Does this work with any platform?
Yes — as long as you can export your order data as a CSV or spreadsheet, I can work with Shopify, WooCommerce, or any custom platform.
What if I don't have historical fraud cases labeled?
No problem — I use unsupervised anomaly detection techniques that work even without labeled fraud history.

