assignment
AI-Based Customer Churn Prediction System
folder Digital Strategy Consulting
Submitted
Posted Jan 3, 2026
Software & Programming Languages → Formatting Languages Software & Programming Languages → Data Analysis Languages Healthcare & Medicine → Allied Health & Medical Services
Project Description
Design and implement a machine learning solution to predict customer churn using historical usage, billing, and engagement data. The goal is to identify at-risk customers early and enable proactive retention strategies through actionable insights and dashboards.
Questions for Mentors
1 Which machine learning models are best suited for churn prediction?
2 How would you handle class imbalance in churn datasets?
3 What metrics should be used to evaluate model performance?
4 WWWE
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Special Instructions
Mentors should have hands-on experience with real-world churn prediction projects and be able to explain results to non-technical stakeholders.
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Project Overview
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Budget
USD 12.00 – 15.00
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Experience
expert
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Category
Digital Strategy Consulting
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Deadline
Jan 9, 2026
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Location
Worldwide / Remote
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About the Client
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Location
Worldwide
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Timezone
UTC
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Languages
English
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Member since
1/3/2026
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