Experience beyond the demo
Himanshu Sinha is an AI and data science leader whose experience spans hospitality, retail, and enterprise data platforms. His public career includes advanced data science leadership at Marriott International, personalization work at CVS Health, and machine learning for data observability at Precisely.
He is a Forbes Technology Council member and the author of Approach (Almost) Every Business Problem with AI. That practitioner perspective informs PlainThinkAI: start with the work, choose the appropriate technology, and measure what improves.
Enterprise depth. Practical scope.
A small business should be able to begin with a focused automation. An enterprise should be able to work through architecture, model evaluation, governance, and adoption. Both deserve a clear scope and a system that fits how they operate.
- Personalization, customer intelligence, and optimization
- Machine learning, forecasting, and model-driven decisions
- Generative AI, knowledge retrieval, and workflow automation
- Production evaluation, monitoring, and team adoption
Professional experience is provided as background. Past and current employers are not represented as PlainThinkAI clients or endorsers.