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AI for Business Insights - Text-to-SQL Analytics System

Built a business-facing analytics assistant that lets teams ask questions in natural language and receive validated SQL, charts, and narrative answers without depending on manual reporting cycles.

Year2025
Impact

Reduced manual reporting effort, improved confidence in generated SQL, and made operational decision-making much faster for non-technical users.

Problem

Problem

Business teams needed quick answers from structured datasets, but analysts were spending too much time translating plain-English questions into reliable SQL and formatted reports.

Approach

Approach

I designed a multi-step text-to-SQL flow with schema retrieval, grounding, SQL validation, error handling, and answer formatting so the system could produce trustworthy outputs instead of brittle one-shot generations.

Outcome

Outcome

The final system turned complex analytical workflows into a guided conversational interface while keeping guardrails around query safety, data correctness, and explainability.