17 years driving enterprise AI strategy & transformation across BFSI, Manufacturing & CPG in India, UK, Australia and Denmark. Specialising in GenAI, RAG architectures and 0→1 AI solutions at scale.
I'm a Data Science leader who has spent 17 years at the intersection of enterprise complexity and AI possibility — building teams, shipping models, and translating data into measurable business outcomes across some of the world's most demanding industries.
From turning around a loss-making product to break-even within two quarters at Paytm, to leading 15–22 member data science teams at Unilever's global analytics practice, to co-founding an AI startup and now leading enterprise AI transformation at PGP Glass with McKinsey — my career is defined by 0→1 execution and scaled impact.
I combine C-suite strategic vision with hands-on technical depth in GenAI, RAG architectures, MLOps, and scalable ML systems — and I've done it in four countries across BFSI, manufacturing, CPG, and fintech.
Building and operationalising enterprise-grade GenAI systems including RAG-based architectures with strong performance and governance frameworks.
Driving AI transformation from ideation to production — problem definition, architecture, delivery and scale across 70+ enterprise use cases.
Designing AI solutions that directly impact revenue, pricing and cost — with a track record of churn reduction, conversion uplift and profitability turnaround.
Led 8–22 member cross-functional teams and vendor partners. Built GCC capabilities and operating models for enterprise-wide AI deployment.
Proficient in Databricks, Azure, AWS, Python, PySpark. Reduced ML turnaround time by 25–50% through reusable model frameworks.
Deep domain expertise across fraud analytics, customer lifecycle, pricing optimisation, supply chain and manufacturing AI applications.
Leading enterprise AI transformation — "AI Kranti" initiative with McKinsey — identifying 70–75 use cases and building the AI/ML GCC from the ground up across manufacturing, finance, marketing and supply chain.
Turned around a loss-making product to break-even within 2 quarters via a 3-layer ML system. Reduced customer churn and dormancy by 20–40%.
Led 15–22 member team delivering multi-market AI solutions for Unilever across 6+ APAC markets. Improved recommendation hit-rate 1.5–2× and influenced 50,000+ salesforce across 350,000 outlets.
Built real-time fraud detection models achieving 4× improvement in detection efficiency using autoencoders and isolation forests. Delivered 15–18 use cases across fraud, marketing and banking operations.
Nearly 8 years delivering analytics, optimisation and automation solutions across global BFSI clients. Built pricing optimisation, marketing analytics and virtual agents for backend workflow automation. Worked onsite in Sydney (~1 year) and London (~4 months) — the formative chapter of a global career.
Open to conversations on AI strategy, enterprise transformation, advisory roles and collaboration.