I will build a customer churn prediction model in python
Data Scientist
About this Gig
I will build a complete customer churn prediction system using machine
learning and Python. The model analyzes customer behavior and predicts
who is likely to leave your business helping you take action before
it's too late.
Using Scikit-learn, Pandas, and Streamlit, I deliver a clean,
production-ready solution with an interactive dashboard, model
performance reports, and well-documented source code.
Perfect for startups, telecom companies, SaaS businesses, and anyone
who wants to reduce customer loss using the power of data.
Message me before ordering let's discuss your data and goals!
Programming language:
Python
•
MATLAB
•
SQL
•
Java
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
APIs:
Microsoft Computer Vision AI
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
My Portfolio
FAQ
Q1: What data do I need to provide?
A structured dataset with customer details such as tenure, contract type, monthly charges, and services used. CSV or Excel format works perfectly. Don't worry if your data is messy — I handle all cleaning and preprocessing for you.
Q2: What type of businesses can use this?
Any business that has customers! It works perfectly for telecom companies, SaaS platforms, banks, insurance firms, e-commerce stores, and subscription-based services.
Q3: How accurate will the model be?
Accuracy depends on your data quality and size. I train and compare multiple models automatically and select the best one. You will receive a full performance report with accuracy, ROC-AUC score, and confusion matrix.

