I’m a technology leader with nearly two decades of experience helping organisations make better decisions through Data and Analytics. I have worked across telecom, enterprise technology, and artificial intelligence, turning data into evidence, evidence into insight, and insight into action.
Analytics has long helped organisations understand what decisions should be made. AI extends that capability by enabling those decisions to be executed faster, consistently and at scale. This shift from decision support to intelligent execution will fundamentally change how organisations operate.
Beyond technology, I enjoy building high-performing engineering teams and creating capabilities from the ground up. While my role today combines leadership and strategy, I continue to stay hands-on with architecture and emerging technologies.
This website is where I share thoughts, analyses and lessons from that journey, not necessarily technical always.
Experience
2022 — Present
Vice President – AI & Analytics, GeakMinds
Leading AI strategy, engineering and enterprise AI adoption while building high-performing AI and analytics teams.
2018 — 2022
Director – Next Gen Technologies, GeakMinds
Built the Data Science practice and architected enterprise AI and cloud-native analytics solutions.
2006 — 2018
AGM - Network Quality, Idea Cellular
Led initiatives across network operations, planning and quality using analytics, automation and digital transformation to improve operational decision-making.
Areas of Work
- Enterprise AI
- Analytics
- Technology Strategy
- Telecom
Philosophy
Evidence over assumptions
Look for data-backed evidence rather than relying on assumptions.
Trade-offs are real
Every choice comes with compromises. Make them explicit.
Fit over sophistication
Choose what fits the problem, constraints, and context—not what is most advanced.
Outcomes over novelty
Technology matters when it improves an outcome that matters to the business.