I will build a machine learning model to predict customer churn
Machine Learning and Python Developer
About this Gig
I build machine learning models that turn your data into actionable predictions customer churn, classification problems, and similar predictive analytics tasks.
My process:
Data cleaning and exploratory analysis to understand your data
Feature engineering and preprocessing
Training and comparing multiple models (Logistic Regression, Random Forest, XGBoost) to find what performs best on your specific data
Clear evaluation using accuracy, precision, recall, and F1-score not just a single misleading number
A summary of key insights and findings from your data
I recently built and deployed a complete customer churn prediction project end-to-end, including a live interactive web application you can view the full code on my GitHub profile.
I deliver clean, well-documented, working code and communicate clearly throughout the project. Please share your dataset (CSV format) and let me know what you'd like predicted, and I'll get started.
Looking forward to working with you!
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
•
Colab
My Portfolio
FAQ
Q1: What format should my data be in?
CSV format works best. If your data is in a different format, let me know and I can usually still work with it.
Q2: Do I need to know machine learning to work with you?
Not at all. I'll explain the results and insights in clear, non-technical language so you understand exactly what the model found and what it means for your business.
Q3: Can you deploy the model as a web app?
Yes — this is included in the Premium package. I'll build an interactive Streamlit web app where you can input new data and get instant predictions.

