Hi, I’m Animesh Tiwari. I help organizations build AI and data capabilities that operate reliably at scale—across systems, processes, and people.

My Work

Learn Deeply. Explain Clearly. Implement Rigorously.

Process Engineering Across Sectors
Built and scaled customer experience and quality systems across banking, technology, and telecom environments, with hands-on experience in customer-facing and client-facing roles, working with and for organizations including Citibank, Dell, Tata Photon, and Vodafone.
From Frontline to Enterprise Leadership
Progressed from individual contributor roles to senior leadership positions, designing repeatable operating models at scale—including the end-to-end Quality Monitoring System for Tata Photon and the award-winning Touchpoint Net Promoter Score (TNPS) framework for Vodafone, recognized by the World Quality Congress and BBC Knowledge Asia Outsourcing Awards.

A tutorial officially requested by the U.S. Federal Aviation Administration

Enterprise AI Capability Development
Contributed to 10+ postgraduate programs and bootcamps in Data Science, Machine Learning, and AI delivered through Great Learning and upGrad, in partnership with institutions including MIT, McCombs School of Business (UT Austin), and IIIT Bangalore.
Applied Learning at Scale
Mentored 30,000+ professionals and led large cohort sessions across data science and AI, maintaining a 4.85/5 average rating across 50,000+ evaluations. Participants included professionals from Big 4 consulting firms and global organizations such as Apple, Amazon, Google, and Microsoft.

From Classroom to Boardroom-and Back

There's satisfaction in making complex topics accessible

I practice across the full AI and data science stack—from Python-based machine learning and deep learning to enterprise SQL platforms, generative AI, and agent-based systems. My practice integrates cloud infrastructure (AWS, Azure, GCP) with enterprise analytics and visualization platforms such as Tableau, ensuring AI and data capabilities are governed, scalable, and translated into decision-ready outcomes.

My Learning Journey

Continuously Learning to Keep Pace with Change

Current Focus

I work with organizations to build and strengthen AI and data capabilities, focusing on scalable architectures, process re-engineering, and governance. In parallel, I support capability development by helping teams translate data and AI concepts into practical skills—ensuring systems and people evolve together and deliver sustainable outcomes.

I'd love to hear

What is the biggest constraint limiting the effective use of data or AI in your organization right now?

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