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AI-Powered Multi-Agent Data Analysis Pipeline

Automating insights with LangGraph and a team of specialized LLM agents.

  • Identified critical delays in Inventory/Sales data analysis; designed and implemented a LangGraph-based multi-agent LLM pipeline, reducing insight generation time from hours to ~5–10 minutes.

  • Orchestrated a team of specialized LLM agents (Data Scientist, Analyst, Python Expert, Customer Engineer) for automated pandas queries, interpretation, and summarization—achieving 100% hands-off automation.

  • Built RAG-ready descriptions with Tool/Memory Augmentation for high-context understanding and autonomous execution.