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$
USD
I will build a churn prediction model for your business
About this Gig
Are you losing customers without understanding why? I build machine learning churn prediction systems that identify at-risk customers before they leave giving your team time to act.
Using XGBoost, Random Forest, and Logistic Regression, I engineer features from your customer data (contract type, tenure, usage patterns) and handle class imbalance with SMOTE for reliable results. Every model ships with an interactive Streamlit dashboard so your business team can explore predictions without writing a single line of code.
What you get:
I've built churn models achieving 81% AUC on real telecom datasets. I know what works.
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
•
MLflow
My Portfolio
FAQ
What data do I need to provide?
A CSV or Excel file with customer records including features like tenure, contract type, usage metrics, and a churn label column. I can advise on what's needed before we start.
Can you use my company's proprietary data?
Yes. I sign NDAs on request and handle all data with strict confidentiality.
Will the dashboard work on mobile?
Streamlit dashboards are web-based and mobile-responsive
Do you offer post-delivery support?
Yes, 7 days of free revisions and bug fixes after delivery.
