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Sayuj Shah
Mid-level Data Analyst & AI Practitioner specializing in ML, LLMs, and analytics platforms
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About
Data Analyst at U.S. Cellular who built production LLM solutions, including a Tableau-embedded chatbot that converts natural language questions into Oracle SQL and returns actionable KPI insights for non-technical users. Also authored MAD-CTI, a multi-agent LLM system for dark web hacker forum threat intelligence (published in IEEE Access) that outperformed single-agent approaches by 14%.
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Key Strengths
- Built and deployed multi-agent LLM system for dark web hacker forum CTI (scraping, translation, classification, summarization)
- Improved multi-agent approach vs single-agent by 14%
- Published work in IEEE Access (MAD-CTI)
- Strong domain adaptation for slang-heavy/noisy text via labeled data curation and fine-tuning
- Reduced false positives using multi-agent cross-checking / ensemble classification
- Designed production LLM workflow for Tableau chatbot including NL query parsing, SQL generation, Oracle execution, and response formatting
- Reliable agent/workflow engineering: modular design, unit/integration tests, edge-case testing, monitoring, and metric-driven iteration
- Effective collaboration with non-technical stakeholders to drive self-service analytics adoption
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Experience
Education
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Publications
1 publication
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