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abchatter/README.md

Amar Chatterjee

Finance technology and AI leader — 14 years building at the intersection of financial operations, data infrastructure, and artificial intelligence.

Currently leading Finance AI strategy at a large-cap medtech company: generative BI, text-to-SQL, document intelligence, and the data foundations that make enterprise AI trustworthy.

What I Build

Domain What How
Data Platform Governance Layered architecture for 1,200+ objects with self-service access and 99.9% MDM accuracy data-platform-governance
Structured Data AI Semantic layers enabling AI agents to query financial data without hallucination semantic-layer-finance
Unstructured Data AI Enterprise RAG platform for document search, chat, and automated comparison document-intelligence-platform
Operational AI Event-driven automation for work classification, routing, and validation ai-workflow-automation

Background

  • M.S. Information & Data Science — UC Berkeley
  • B.A. Business Economics — UCLA
  • 14 years in Finance technology — from financial analyst through AI strategy leadership
  • Team of 17 — analytics delivery + data engineering
  • Full stack — data architecture, AI product ownership, governance frameworks, executive stakeholder management

Focus Areas

  • Finance AI strategy & deployment
  • Semantic data modeling for LLMs
  • RAG application architecture
  • Enterprise data governance
  • AI product ownership (roadmap, UX, cross-functional delivery)
  • Financial systems transformation (SAP, Anaplan, Snowflake)

Connect

LinkedIn

Popular repositories Loading

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  5. data-platform-governance data-platform-governance Public

    Governance architecture for 1,200+ objects: layered taxonomy, role-based access without IT tickets, 99.9% MDM accuracy, lineage-driven change management.

  6. finance-sql-agent finance-sql-agent Public

    Text-to-SQL agent with semantic layer grounding for financial data — converts natural language to SQL with >90% accuracy on enterprise finance queries.

    Jupyter Notebook