Predictive Churn Analysis
Telecom Provider · Telecommunications
Created predictive ML models identifying at-risk customers before churn occurs for proactive retention.
!The Challenge
The telecom provider was losing 8–12% of customers per quarter with no early-warning system, making timely retention interventions impossible.
→Our Solution
Built a churn prediction model analyzing 200+ features from usage, billing, and support interactions, paired with automated retention workflows.
Tech Stack
Duration
4 months
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