Sidd Tumkur

I'm a global data and AI executive with over two decades of experience architecting and scaling data platforms, machine learning ecosystems, and enterprise analytics programs across the insurance, banking, and pharmaceutical industries. My strength lies in connecting AI innovation to strategic business value—building intelligent systems that drive growth, compliance, and transformation at scale. Honored among the Top 100 AI Leaders in the U.S., I’ve led groundbreaking AI initiatives for 150+ insurance carriers, redefined commercial segmentation in pharma using Support Vector Machines (SVMs) and sentiment analysis, and built robust marketing database architectures to optimize targeting, personalization, and attribution in highly regulated domains. From building real-world evidence (RWE) platforms in life sciences to deploying LLM-powered claims automation and real-time loss ratio analytics in P&C, my work delivers measurable business outcomes. My expertise spans: – AI Strategy & Execution | Generative AI | Ethical & Explainable AI – Machine Learning & Deep Learning | NLP | LLMs | OCR | SVMs – Sentiment Analysis for Commercial Strategy (Pharma, Insurance) – Real-World Evidence Platforms | Pharma Commercial Analytics – Marketing Database Architecture for Personalization & Campaign ROI – Cloud-Native Data Platforms: Azure, Databricks, Snowflake – MLOps, Model Lifecycle Management, Executive Dashboards – Federated Governance | Regulatory Compliance (GDPR, NAIC, HIPAA) – PetTech Innovation | Auto-Adjudication Workflows | Risk Modeling My leadership has delivered a 2x improvement in claims adjudication, 7% uplift in loss ratios, 45% cost savings in data infrastructure, and a 60% increase in AI adoption across operational teams. I’ve also chaired global data and AI boards, led cross-jurisdictional governance frameworks, and driven cloud modernization in both regulated insurance and pharmaceutical environments. As a nonprofit board advisor, published author on generative AI and algorithmic trading, and regular speaker at industry summits, I advocate for responsible AI that is scalable, ethical, and human-centered. I thrive in matrixed environments where business goals, regulatory precision, and AI excellence must converge.