A Global AI Governance and Responsible AI strategist, empowering Fortune 500 enterprises to build ethical, future-proof data and AI ecosystems. With 28+ years in technology leadership (formerly at Tata Consultancy Services), I bridge innovation and compliance through deep expertise in AI Governance frameworks, Enterprise Analytics, and Microsoft Fabric—certified in AI Strategy & Governance (Wharton), AI in Healthcare (Stanford), Enterprise IT Governance (CGEIT - ISACA), and as a Microsoft Fabric Analytics Engineer.

My work spans large-scale AI/analytics transformations, from migrating legacy BI systems to Microsoft Fabric, to embedding bias audits, regulatory checks, and ROI-driven adoption frameworks. These initiatives have delivered 20-40% efficiency gains in retail supply chains, financial risk models, and customer personalization—all while enforcing ethical guardrails.

A recognized LinkedIn voice on Responsible AI, I share pragmatic insights on AI governance, data quality, and auditable AI frameworks, with thought leadership spanning:
* AI readiness assessments to bridge data gaps,
* Bias mitigation in forecasting and inventory systems,
* Governance-by-design for Microsoft Fabric and multi-cloud platforms.

Whether advising CxOs or speaking at industry forums, I equip organizations to turn regulatory challenges into competitive advantages—proving that ethical AI isn’t a constraint, but a catalyst for scalable innovation.