Shivani Chaudhary
AI Data Specialist and Finance Subject Matter Expert
New City, New York, United States
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Shivani Chaudhary is an AI Data professional at Kensho Technologies, S&P Global’s artificial intelligence innovation hub, where she works at the intersection of advanced data systems, large language models, and capital markets workflows. She specializes in designing and evaluating AI pipelines that operate on complex, unstructured financial data, with a focus on reliability, data architecture, and real-world deployment constraints.
Prior to transitioning into AI, Shivani worked as an investment banking professional advising on M&A, capital raises, and strategic transactions across healthcare, technology, and business services. Her experience on live deals informs her applied research and technical work, particularly in areas such as diligence automation, document intelligence, entity resolution, and financial data governance.
Shivani’s work bridges finance and artificial intelligence, reframing common AI failures in capital markets as data systems problems rather than purely modeling limitations. She is interested in how institutional AI can be made economically reliable, auditable, and decision-grade at scale. Her perspectives draw from hands-on banking experience, enterprise AI deployment, and emerging research in financial NLP and data infrastructure.
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Shivani Chaudhary
AI Data Specialist and Finance Subject Matter Expert
New City, New York, United States
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