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Customer Feedback Analysis using NLP
End-to-end NLP project focused on extracting actionable insights from customer reviews. The analysis identifies the main drivers of dissatisfaction and translates them into concrete operational priorities.
PythonNLPTopic AnalysisSentiment AnalysisBusiness Intelligence
Strong product perception is not the issue. Delivery, order fulfilment and customer service explain most of the negative review signal.

What this project shows
- Topic extraction from review text to surface the dominant themes in customer feedback.
- Sentiment analysis by topic to separate product experience from operational service issues.
- Business-oriented storytelling built around gap analysis, root causes and recommendations.
- A project that reads like a real customer intelligence case, not just a notebook.
Assets
Best used as a flagship portfolio piece because it combines technical work, clear framing and direct business relevance.