Automated NLP Data Pipeline for Meeting Insights (Feb 2026 - Mar 2026)
Developed an automated NLP ETL pipeline to convert meeting audio into structured text, enabling downstream summarization tasks. Implemented transcription and summarization steps to transform raw audio into labeled textual outputs suitable for querying and insight generation. Built data processing and storage to support efficient retrieval of generated summaries and structured text.• Converted unstructured meeting content into structured text artifacts through transcription.• Applied NLP summarization to produce concise meeting insights.• Used Python, Pandas, and NLP tools to orchestrate the processing workflow.• Stored outputs in MySQL for efficient querying and analysis.