Submitted
Posted 1/3/2026
AI-Based Customer Churn Prediction System
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Budget USD 12.00 - 15.00
Experience Level expert
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Project Summary
Overview of project requirements
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.
Skills and Expertise
Required technical skills
Software & Programming Languages → Formatting Languages Software & Programming Languages → Data Analysis Languages Healthcare & Medicine → Allied Health & Medical Services
Questions for Mentors
Client's specific inquiries
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
Project Details
Additional specifications
Special Instructions
Mentors should have hands-on experience with real-world churn prediction projects and be able to explain results to non-technical stakeholders.
Project Activity
Current engagement metrics
15
Proposals
2 hours ago
Last viewed
3
Interviewing
8
Invites sent
2
Unanswered
About the Client
Client background and information
PC
Project Client
Member since
1/3/2026
Location
Worldwide
Time zone
UTC
Languages
English
Complete client profile information will be available once the project details are finalized and the client completes their profile setup.
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Digital Strategy Consulting