Governed analytics for 90,000+ employees
Drive business analysis across Workday, Azure Databricks, Power BI, Collibra and Immuta—covering integration, reporting, privacy, access control and validation.
Business Analyst with 14+ years across enterprise data platforms, AI-enabled transformation, finance, insurance and reinsurance. I connect business context, data, controls and technology so global teams can move from ambiguity to measurable outcomes.
↓ business depth + technical curiosity + a practical builder’s mindset.
understand → simplify → connect → validate → learn ↗
Selected capabilities and outcomes, shared without exposing confidential programme details.
Drive business analysis across Workday, Azure Databricks, Power BI, Collibra and Immuta—covering integration, reporting, privacy, access control and validation.
Bridge business, engineering, security and governance teams to translate sensitive-data requirements into policy-based access rules and auditable outcomes.
Define business use cases, requirements, workflows, expected outcomes and validation approaches for AI-enabled assistants and process transformation.
A practical model for slowing down the solution conversation just enough to understand the real problem.
Clarify the problem, users, outcome and value.
Map journeys, requirements, rules and data.
Collaborate with architecture and engineering.
Validate acceptance, adoption and learning.
I use small builds and visual thinking to explore AI, data and product questions—not just read about them.
A visual experiment comparing ChatGPT, Gemini, Claude and DeepSeek with the same prediction framework. It combined prompt design, model comparison, data interpretation and sketchnote storytelling—and reached 1,250+ impressions.
A concept for inspecting schemas, suggesting sensitivity classifications and policy ideas, and converting findings into BA-ready artefacts.
A growing learning-in-public practice that turns AI, productivity, business analysis and data concepts into concise visual explanations people can understand and remember.
A career spanning the full delivery lifecycle—from requirements and process analysis to solution validation, UAT and adoption.
Enterprise HR data platforms, data governance, policy-based access, analytics, finance transformation and AI-enabled workflow initiatives.
Requirements, blueprints, functional specifications, testing, POCs and client demonstrations for organisations including Munich Re, Swiss Re, GIC India and Thai Re.
Facilitate workshops, process and data-flow discussions, requirements reviews, backlog alignment, solution validation and stakeholder adoption.
Formal learning across business data analytics, cloud data, responsible AI, agile delivery and insurance operations.
Udacity · Issued April 2026
IIBA · Issued September 2025
Collibra · Issued October 2024
Microsoft · Issued May 2024
The Linux Foundation · Issued April 2024
Agile delivery and quality engineering foundations
I bring business-analysis fundamentals, deep insurance and reinsurance domain experience, and modern data-platform exposure. Today, my focus is the intersection of Business Analysis + Data + AI—where clear problem framing, governance and responsible adoption matter as much as technology.
I enjoy making complex systems understandable: asking sharper questions, visualising flows, surfacing assumptions and helping multidisciplinary teams build the right thing.
Let’s exchange ideas, learn and build something useful.