From rule-based segmentation to self-directed AI agents that autonomously explore data, build hypotheses, and surface insights — the shift is happening now across leading financial institutions.
Traditional RFM segmentation misses an entire class of high-potential customer — the ghost flyer. They transact infrequently, score poorly on Recency, yet represent outsized lifetime value. Here's how the RFMC framework surfaces them.
A step-by-step breakdown of an agentic AI system that continuously monitors NPA trends, flags anomalies, and drafts executive summaries — without a single human trigger.
Overfitting, data leakage, and the hidden traps in production ML models that nobody talks about in tutorials.
The difference between dashboards that get opened once and ones that become the centrepiece of every Monday MIS meeting.
Testing transformer architectures against XGBoost on real banking datasets. The results might surprise you.
How to position your BI unit within a governance framework — and why it matters more than your tech stack.
A practical guide to synthetic data generation, differential privacy, and safe model deployment in regulated environments.
A seasoned data scientist with over 24 years of experience developing and leading data-driven decision-making capabilities from the ground up. Having worked across multiple countries, diverse industries, and Fortune® organisations including GE Capital, Vodafone, Reliance Industries, and Ooredoo — I bring a global perspective to complex analytics challenges. My mission: partner with organisations that recognise data as a strategic asset and leverage it to drive transformative growth.