About Me

About Me

I am a Data Science & AI leader focused on turning AI into practical, scalable business solutions. Over my career at Cardinal Health, Nestlé, Novartis, and ZS, I have worked across AI, data science, analytics, and strategy, primarily in Healthcare, Life Sciences, Retail, and Consumer Products.

My focus is on AI strategy, GenAI, agentic systems, machine learning, and AI product development—from identifying high-value opportunities to designing architectures and building solutions that move from prototype to production.

I remain deeply hands-on with Python and R and enjoy working at the intersection of business, technology, and AI. I believe strong AI leadership requires both strategic thinking and technical depth: knowing where AI can create value, how to build it, and how to scale it responsibly.

Core Competencies

• AI Strategy & Transformation — AI roadmaps, use-case prioritization, and scaling AI capabilities
• Generative AI & Agents — LLM applications, agentic workflows, orchestration, RAG, and evaluation
• Data Science & ML — predictive modeling, statistical analysis, feature engineering, and decision science
• AI Product & Architecture — translating business problems into scalable AI products and systems
• Executive Communication — simplifying complex technology into clear business narratives
• Healthcare & Life Sciences — deep experience applying analytics and AI to complex business problems

Education

Master’s in Data Science & Project Management, University of Connecticut School of Business.

My goal is simple: build AI systems that are useful, scalable, and grounded in real business problems—not hype.

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