Business Intelligence & Data Analytics Leader. I architect enterprise analytics ecosystems on Azure and Power BI, and turn complex data into CMO-level intelligence across EMEA.
Visionary Data & BI leader with 20+ years architecting end-to-end analytics ecosystems across EMEA and India. I combine hands-on mastery of Azure, Power BI, SQL, Python and Generative AI with the strategic acumen to translate complex data into intelligence that executives can act on.
My track record spans building BI platforms from greenfield, migrating legacy systems to the cloud, and embedding AI/ML and LLM-powered intelligence directly into reporting pipelines — partnering with the C-suite to drive revenue, optimize operations and lead digital transformation.
Azure, Fabric Lakehouse, Databricks & SSIS — greenfield builds to enterprise migration.
Power BI and Tableau platforms delivering standardized, CMO-level KPIs.
Copilot Studio and Azure AI Services embedded into dashboards and self-serve platforms.
Seven interactive, production-style reporting builds across pipeline, churn, automation, social, governance and workforce. Switch between projects below; each renders live, exactly as a stakeholder would experience it.
The Microsoft EMEA executive layer: engagement-to-closed-won funnel, rolling 90-day pipeline impact, engaged-vs-non-engaged uplift analysis and AI-agent productivity — the standardized KPI view that accelerates CMO budget-optimization cycles.
A cloud-consumption command center: a 90-day inactivity model surfaces at-risk ACR, risk bands by inactivity, churn by Azure service and region, and a re-engagement signal — built so account teams can intervene before consumption lapses.
A retention command center for prepaid telecom: churn-rate trend against target, behavioral risk segmentation, revenue-at-risk by plan, and the highest-priority at-risk cohorts — built on predictive churn modelling to focus retention spend where it returns most.
An automated web-crawling engine auditing 10,000+ global digital assets in real time: crawl coverage, asset status, issue triage by type and region, and a priority fix queue ranked by traffic impact — automating 95% of manual QA workload.
Multi-platform social data from Facebook, Twitter/X and YouTube consolidated into one Power BI intelligence layer: cross-platform engagement, NLP-driven sentiment mix, share of voice and top-performing content for real-time brand monitoring.
A centralised tagging-governance platform ensuring data accuracy across Nokia's digital properties: composite governance score, tag-accuracy trend, coverage by property type and an open-discrepancy queue — standardising taxonomy across 28 markets.
HR and workforce intelligence from a multi-subsidiary Dynamics 365 for Talent rollout: headcount and attrition trends, recruitment funnel, attrition-by-reason analysis, diversity and tenure, plus a watchlist of departments needing attention.
Architected on Azure + Power BI, delivering standardized KPIs that accelerated CMO-level budget-optimization cycles across markets.
Migrated the complete analytics ecosystem to Azure & Fabric Lakehouse — achieving 100% data reliability and significantly faster global refresh rates.
Engineered an automated web-crawling engine that audited 10,000+ digital assets and automated 95% of manual workload with real-time reliability.
Built from scratch across Sales, Finance, Supply Chain and E-Commerce — eliminating redundancy and enabling predictive decisions.
Pioneered LLM-powered narrative generation, automated insight summarisation and AI-assisted data storytelling embedded into executive reporting.
Built a centralised tagging-governance platform ensuring data accuracy across Nokia's digital properties within the WPP ecosystem.
Consolidated Facebook, Twitter and YouTube data into a unified Power BI intelligence layer for real-time brand-performance monitoring.
Delivered implementations across multiple global subsidiaries, streamlining HR and workforce analytics at scale.
Leading enterprise BI strategy and analytics delivery for a global marketing network across EMEA. Defined BI infrastructure and governance best practices; built the analytics & reporting engine on Power BI, Tableau and Excel from inception; spearheaded the Azure cloud migration; and integrated Generative AI & LLMs into reporting workflows for C-suite stakeholders. Applied NLP and ML for content classification, sentiment mapping and churn prediction across campaigns spanning Sales, Supply Chain, Finance, Factory Production and E-Commerce.
Designed and maintained database structures for high-profile marketing clients; produced financial and operational analysis; built management dashboards and forecasting models; and coached the database team.
Key clients: KLG Systel, Volvo, Goodyear Tyre, Voltas, Max New York Life Insurance
Managed Database & MIS for Sparsh BPO; produced daily, weekly and monthly MIS; trained MIS executives and maintained productivity tracking.
Accounts: BSNL, Citi Bank, GE-SBI, Tata-AIG, Airtel, PNB, Pizza Hut, LG, HCL
Led the data-processing team; managed database operations, de-duplication and stock printing; developed FoxPro and Visual Basic applications for data entry, accuracy tracking and MIS reporting.
Clients: HTA (Wills), Whirlpool, Honda, EIH, Shoppers Stop, Microsoft, Seagram, GE Capital, Barista, AVIVA
Open to leadership conversations around BI strategy, cloud analytics architecture and AI-driven reporting.