I will develop predictive ai model for churn prediction
About this Gig
Are you losing customers without knowing why?
I specialize in building highly accurate predictive AI models that will identify who is about to leave and why.
From raw customer data, I will build a robust churn prediction model that helps businesses take proactive steps to improve retention and reduce customer loss.
Developing a robust predictive model is a detailed, step-by-step process. I will provide you with:
- Exploratory Data analysis. (EDA)
- Data visualization.
- Data cleaning.
- Handling missing values.
- Fixing outliers.
- Feature engineering .
- Building models like regression and classification.
- Performance evaluation with real metrics.
- Clean and documented Python code.
Tools I use:
- EDA: Pandas, NumPy, Scikit-learn.
- Data visualization: seaborn, matplotlib, ydata-profiling, D-tale.
- Models: Linear regression, Logistic regression, Decision tree, random forest, XGBoost, LightGBM, CatBoost, SVM, KNN and many more.
Why choose me:
- Clear communication throughout.
- Practical, business-ready solutions.
- Tailored to your dataset & goals.
- On-time delivery.
I look forward to working with you and building the best solutions for your business.
Message me before ordering to discuss your project.
Programming language:
Python
•
MATLAB
Frameworks:
Scikit-learn
•
Keras
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
My Portfolio
FAQ
What type of data do you work with?
I work with structured datasets such as CSV, Excel, and similar formats. If you’re unsure about your data format, feel free to contact me before ordering.
What machine learning models do you build?
I build regression, classification, and predictive models using Python and industry-standard libraries like scikit-learn and others.
Will you explain the model and results?
Yes. I provide clear explanations of the model performance, metrics, etc.
How long will my project take?
Delivery time depends on dataset size and complexity. Most projects are completed within 3–7 days.

