Shweta Pasi

I’m a Data Analyst and AI Engineer with 2 years of experience delivering analytics, BI, and GenAI solutions in industrial manufacturing. My core strength is turning SQL/Python data pipelines into actionable insights through strong statistical analysis and enterprise dashboarding.

At CEAT Tyres / RPG Enterprises, I spearheaded an Ignition SCADA rollout across multiple workstreams—driving OEE monitoring, predictive maintenance, energy monitoring savings, and quality intelligence from live plant sensor data. I also digitized 300+ manual quality and maintenance checksheets to enable real-time production traceability and data-driven review cycles.

I built and deployed the organization’s first production GenAI application—an AI budgeting tool with an LLM-driven workflow, using FastAPI/PostgreSQL on the backend and a React/TypeScript frontend. I design prompt systems and Loop Engineering approaches as a specialty to automate reporting from plant IoT and supply chain data.

I enjoy end-to-end applied AI work, from RAG and multi-agent systems to analytics anomaly detection. With projects like DocuMind AI, Supply Chain Intelligence, PitCrew, and Nexus & Oracle, I focus on practical, production-ready outcomes—and I’m currently pursuing an Executive MBA in AI & Machine Learning.