About me (Registered since 15/04/2026)

Seasoned Data and AI leader with nearly two decades of progressive experience spanning enterprise analytics, cloud data platforms, AI/ML, and Generative AI — across global organisations including Tech Mahindra, Medtronic, and Oracle Corporation.
In his most recent role as Program Director at Tech Mahindra, he has led end-to-end data transformation programmes, architecting cloud-native platforms on AWS and Snowflake, enabling Gen AI and Agentic AI capabilities via Amazon Bedrock, and delivering measurable outcomes such as 60% faster data retrieval and a 45% year-on-year lift in team productivity.
Prior to this, built and led Medtronic’s APAC Data & Analytics Centre of Excellence, owning a $9.5M programme portfolio and driving strategies that directly contributed to market share growth and multi-million-dollar cost avoidances.
As i steps into a Head of Data and AI Practice role, brings the rare combination of strategic vision and hands-on technical depth — with a clear focus on building scalable AI-ready data foundations, monetising data assets through advanced analytics and AI, establishing practice-wide governance and delivery excellence, and growing high-performing data and AI teams that translate technology capability into tangible business value.

Skills

Portfolio

Education

Key Skills and Competencies

• AI & Data Strategy: Enterprise AI roadmaps, AI Factory design, operating model & governance • Cloud & Platform Engineering: AWS, Snowflake, GCP, Databricks, streaming & real time architectures. • AI/ML Enablement: GenAI, Agentic AI, MLOps, NLP, predictive modelling, automation • Enterprise Analytics: KPI frameworks, self service analytics, commercial & customer analytics • Governance & Risk: Data governance, PII protection, RBAC, regulatory compliance • Executive Leadership: COE creation, stakeholder alignment, talent development, vendor management

Work Experience

  • August 2023 - Present
    Tech Mahindra, Singapore

    Program Director - Data & Analytics

    users, eliminating 70% of manual data preparation and reducing query latency by 60%.

    Deployed production-grade GenAI and Agentic AI pipelines on Amazon Bedrock and Amazon Q — automating Tier-1 customer query resolution end-to-end, reducing support cost per contact, and driving a 12-point NPS improvement across the subscriber base.

    Launched an ML platform on SageMaker, reducing model deployment time by 40% and bringing 8 models into production — including an 85%-accurate churn prediction model — enabling proactive retention interventions at scale.

    Drove a 30% increase in sales team productivity by unifying data access, eliminating manual reporting, and deploying self-service analytics via Snowsight, Tableau, and Power BI across commercial teams.

    Established enterprise-grade data governance framework covering RBAC, PII masking, data lineage, and encryption — ensuring regulatory compliance, data quality, and audit-readiness across high-volume Telco workloads at enterprise scale.

    Built and mentored a 20+ person data engineering and analytics team — driving hiring, talent development, and upskilling programmes that raised team productivity 45% YoY and accelerating use-case delivery across the programme.

    Scaled lakehouse architecture and data product delivery — achieving 35% platform scalability gains via event-driven ingestion pipelines and optimised data models, supporting mission-critical network and real-time customer workloads at Tier-1 scale.
    Medtronic — Senior Manager, APAC Data & Analytics Feb 2018 – Apr 2023 | Singapore

    Founded and scaled the APAC Data & Analytics Centre of Excellence (COE) from zero — defining the data strategy and roadmap, governing a combined $9.5M portfolio ($6M CAPEX, $3.5M OPEX) and aligning delivery to global enterprise data strategy across 15+ markets.

    Grew APAC market share by 5% and CRM platform adoption by 10% within 2 years by embedding AI-driven commercial insights, predictive targeting, and analytics dashboards directly into sales workflows — accelerating revenue generation across the region.

    Averted $3M in NPI launch risk across 4+ product launches by engineering predictive analytics models and real-time supply-chain performance dashboards — enabling proactive intervention weeks ahead of critical go/no-go milestones.

    Cut BI report turnaround time by 50% by modernising the analytics stack with Snowflake, ThoughtSpot, and Dataiku — enabling business teams to self-serve insights without analyst dependency.

    Partnered with global D&A leadership to align APAC architecture with enterprise data mesh standards — ensuring interoperability, scalable governance, and compliant analytics delivery across commercial, CRM, and supply chain functions in 15+ countries.

    Recognised with the CIO Award for Raising Data & Digital IQ (2021) and APAC Star Award (2021) for measurable advances in analytics maturity across the region.
    Oracle Corporation — BI Manager, Global Customer Services Jun 2015 – Nov 2017 | Singapore

    Managed and developed a cross-functional team of 4 analysts delivering operational and strategic BI to 800+ global users across hardware services — partnering with engineering and operations to deliver end-to-end business intelligence across the data warehouse and analytics stack.

    Designed and automated a global KPI framework and executive reporting suite — improving hardware services forecasting accuracy by 20% against budget targets and reducing weekly reporting cycle time by 35%.
    Oracle Corporation — BI Strategic Analyst Apr 2010 – May 2015 | Singapore

    Defined and implemented a regional BI strategy and data governance framework — including RBAC, data classification policies, and audit controls — reducing unauthorised data access incidents by 35% and achieving full compliance with Oracle’s global data standards.

    Architected scalable self-service analytics and data visualisation solutions for APAC support operations — standardising ETL pipelines, reducing time-to-insight for executives, and increasing operational reporting coverage across a multi-country footprint.
    Sun Microsystems — Senior Business Analyst 2005 – 2010 | Singapore

    Designed and delivered end-to-end BI and data warehousing solutions for global Sun Microsystems operations — driving service delivery transparency, standardising KPI reporting, and supporting data-driven decision-making for cross-functional, multi-region teams during a period of rapid organisational growth.
    EDUCATION
    Master of Computer Applications — Andhra University 1998
    Bachelor of Science (Chemistry) — Andhra University 1995
    CERTIFICATIONS & AWARDS
    AWS AI Practitioner | AWS Trained Partner – Agentic AI Essentials & Generative AI Sales | Google Cloud Certified Generative AI Leader
    CIO Award – Raising Data & Digital IQ (2021) | APAC Star Award (2021) | Cruising & Crushing – IT Team Award (2022)

  • February 2018 - April 2023
    Medtronic, Singapore

    Senior Manager - APAC Data & Analytics

    Built and led the APAC Data & Analytics COE, driving analytics modernization and AI adoption across commercial, CRM, and supply chain functions.

     

    Key Achievements

    • Established the APAC D&A COE and delivered $6M CAPEX and $3.5M OPEX programs aligned to global data strategy.
    • Increased market share by 5% and CRM adoption by 10% through AI‑driven insights and targeted analytics.
    • Prevented $3M in NPI launch delays by deploying predictive analytics and real‑time performance dashboards.
    • Reduced BI report turnaround time by 50% by introducing Snowflake, ThoughtSpot, and Dataiku into the analytics stack.
    • Partnered with global D&A teams to align regional strategy with enterprise architecture, ensuring scalable and compliant analytics delivery.
    • Received multiple APAC and global awards for advancing analytics maturity and digital IQ

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