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I will build a churn prediction model for your ecommerce store customers
Pakistan
I speak Urdu, English, Chinese
Are you losing customers but don't know why? Stop guessing!
I am a Data Scientist specializing in Customer Analytics. You provide the dataset (CSV, Excel, SQL), and I provide the business solutions....
About this Gig
Acquiring a new e-commerce customer costs 5x more than keeping one. Are your one-time buyers disappearing? Stop guessing and start predicting.
You provide your store's order data (CSV, SQL, or Excel), and I will build a powerful Machine Learning Churn Prediction Model to tell you exactly which customers will never buy from you again.
I don't just write Python code; I act as your strategic Data Scientist. I'll clean your data, engineer features, and train ML algorithms to assign a "Churn Risk Score" (0-100%) to every customer ID. More importantly, I'll extract the exact triggers causing them to leave (e.g., "Customers with no purchase in 30 days have an 80% churn risk").
What you get:
Fully documented Jupyter Notebooks
Clean dataset with Churn Probabilities
4-page Executive PDF Report with retention strategies
Interactive Tableau/PowerBI Dashboards (Premium)
NLP analysis on reviews to find hidden complaints (Premium)
Turn raw transaction logs into a proactive retention strategy. Increase your Customer LTV by targeting the right people with the right discount at the exact right time.
Message me before ordering with a brief description of your dataset!
Programming language:
Python
•
R
•
SQL
•
Colab
•
Scala
Technology:
Python
•
R
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TensorFlow
•
scikit-learn
•
SQL
•
Pandas
My Portfolio
FAQ
Q: What kind of data do I need to provide?
A: Ideally, an export of your customer orders (Customer ID, Order Date, Total Spend, etc.). If you use Shopify, WooCommerce, or Magento, you can simply export the CSV files from your store's admin panel. If you aren't sure what to export, message me before ordering and I will guide you!
Q: I am not a technical person. How will I understand the results?
A: You don't need to know how to code! The Python Notebooks are for your tech team. For you, I provide a 4-page Executive PDF written in plain English. It explains exactly what the data means and gives you a step-by-step marketing strategy to save your at-risk customers. Premium include Dashboard
Q: How accurate is the churn prediction model?
A: I use industry-standard Machine Learning algorithms (like Random Forest or XGBoost). Accuracy depends on the quality and size of your dataset. I always test multiple models and use AUC-ROC scoring to ensure you get the most reliable, business-ready predictions possible.
Q: What is "Feature Importance" and why does it matter to my store?
A: It tells you why customers are leaving. Instead of just saying "Customer A will churn," the model says "Customer A will churn because they haven't bought in 30 days and only used a discount code once." This gives your marketing team an exact "To-Do List" to save them.
Q: Can you predict churn for subscribers/recurring payments too?
A: Yes! The models work perfectly for both one-time retail buyers (predicting if they will never return) and subscription box/member models (predicting if they will cancel their monthly plan). Just let me know your business type when you message me!
