AI-Powered State Data Analytics – RAND State Statistics

Developed custom pipelines to ingest and preprocess structured and unstructured datasets from multiple state sources.
Integrated large language models (LLMs) to generate interpretive summaries and highlight anomalies in economic, healthcare, and education statistics.
Optimized real-time data querying, reducing manual analysis time by over 60%.
Ensured model explainability and compliance with state data governance policies.

Impact:
Enabled fast, accurate, and AI-assisted decision-making for state-level planning and policy evaluation.

Client Project