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chromad

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Customer churn models identify at-risk users but lack actionable context. To solve this, I built an end-to-end decision-support system pairing predictive modeling with RAG (Python, Gemini, ChromaDB). By merging metrics with support logs, it turns static scores into context-aware retention strategies to boost customer lifetime value.

  • Updated Aug 13, 2026
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