Syarmine Shah
Technical delivery lead · Enterprise data, generative and agentic AI

Syarmine Shah

MBBS · MSc (LSE, LSHTM) · PMP · MCT · FRSS

Takes enterprise data and AI products from business case to production, including generative and agentic AI. Designs AI agents, copilots and LLM-based workflows that run on governed lakehouse data in Microsoft Fabric and Databricks, with retrieval (RAG), evaluation and human-in-the-loop controls built in. Delivers semantic models, machine learning and predictive analytics for supply chain, sustainability (ESG and Scope 3), and health and safety across six regions. Leads cross-functional Agile delivery with engineering, finance, regulatory and clinical stakeholders, and builds the AI business case, risk assessment and governance that get programmes funded and approved. Medical doctor and health economist by training, PMP and Microsoft Certified Trainer.

View projects LinkedIn
$1M
Process waste prevented with predictive models
$2M
Fraudulent insurance claims identified
−70%
Regulatory review time with automated data quality
+150%
Health screening uptake after digital rollout
95%
On-time delivery across cross-functional teams
Technical expertise

Tools and languages

Languages

  • Python
  • R
  • SQL (T-SQL)
  • DAX
  • Power Query (M)
  • LaTeX
  • HTML / CSS / JSON

Data platforms and BI

  • Microsoft Fabric
  • Databricks
  • Power BI
  • Tableau
  • Flourish
  • Excel

Cloud and enterprise systems

  • Microsoft Azure
  • AWS
  • SAP
  • JDE
  • Kinaxis
  • SharePoint

Delivery and governance

  • PMP
  • Agile / Scrum
  • Azure DevOps
  • GitHub / Azure Repos
  • Data quality
  • Risk (ISO 31010)
  • FinOps

Methods and domains

  • Predictive modelling
  • A/B experiments
  • Generative AI
  • Agentic AI
  • LLM apps and RAG
  • AI governance
  • Economic evaluation
  • ESG and Scope 3
  • Occupational health
  • Health insurance
Projects and case studies

Delivery case studies

Select a project for the challenge, the solution and the outcome.

Energy · Data platform

Unified AI and BI data platform

  • Microsoft Fabric
  • Databricks
  • Dataflows
  • Power BI

1Challenge

Capital and operating cost reporting was spread across many models, so analysts spent their time maintaining reports instead of answering questions, and leaders could not trust one version of the numbers.

2Solution

Defined how data is modelled, governed and consumed at scale on Microsoft Fabric and Databricks, and built a trusted semantic layer with Dataflows, Python and Power Query that removed manual refresh steps.

3Outcome

+20%
Reporting efficiency
Self-serve
Decisions for business leadership
CAPEX + OPEX
On one semantic layer
Energy · Supply chain

Global demand planning MI

  • SAP
  • JDE
  • Kinaxis
  • Power BI

1Challenge

Demand and supply data for key products sat in JDE, Kinaxis and SAP, so planners across global markets worked from silos and forecasts lagged.

2Solution

Architected cross-platform integration of the three systems into a unified supply chain MI framework that planners use to monitor and forecast demand and supply.

3Outcome

3 → 1
Planning systems unified
700+
Plants in one view
Faster
Forecast accuracy and decisions
Energy · ESG and Scope 3

Global sustainability MI

  • Power BI
  • Fabric
  • Data governance

1Challenge

Sustainability metrics were tracked differently in each region, which made cross-regional comparison and regulatory reporting slow and contested.

2Solution

Architected and maintained global ESG and Scope 3 analytics on one set of definitions across six regions in Asia, the Middle East, the Americas and Europe.

3Outcome

6
Regions on one definition
Scope 3
Emissions coverage
Regulatory
Reporting supported
Occupational health

Health and wellbeing control tower

  • Power BI
  • Data integration
  • Occupational health

1Challenge

Occupational health and wellbeing data for a global workforce was fragmented across regions, so risks surfaced late and interventions were hard to target.

2Solution

Designed and deployed a control tower that consolidates multi-regional health data into a central platform, drawing on clinical and occupational health expertise to define what to measure.

3Outcome

Multi-region
Health data consolidated
Proactive
Workforce risk identification
At scale
Evidence-based intervention
Energy · Advanced analytics

Experimentation and predictive models

  • Python
  • Regression
  • Classification
  • A/B testing

1Challenge

Product and process decisions needed evidence on what actually improved customer outcomes, and early warning of where waste was building up.

2Solution

Designed and deployed A/B experiments and built regression and classification models in Python to predict performance and flag waste before it occurred.

3Outcome

+15%
Customer product performance
$1M
Process waste prevented
15+
Business metrics defined
Data governance

Data quality and governance

  • Python
  • SQL
  • GitHub
  • Azure Repos

1Challenge

A large enterprise system migration put data integrity at risk, regulatory reviews of large datasets were slow and manual, and hard-coded Python and SQL made analyses hard to reproduce for audit.

2Solution

Established validation and quality assurance frameworks for the migration, automated data quality checks, moved code into GitHub and Azure Repos, and documented methods and governance so audits can trace every step.

3Outcome

−70%
Review time
99%
Check accuracy on big data
Zero loss
Through system migration
Financial services · Risk analytics

Nationwide branch financial and risk analytics

  • T-SQL
  • Python
  • Power BI
  • Google Geocoding API

1Challenge

Financial and risk monitoring across 700 branches ran on legacy Excel models, with no single source of truth and no view of where firms were located.

2Solution

Designed a pipeline ingesting multiple sources into a star-schema warehouse in T-SQL, replaced Excel models with Python, geocoded firm locations, and built Power BI dashboards to the ISO 8000 data quality framework with a team of 15.

3Outcome

700
Branches analysed
−30%
Time to production
Near real time
Monitoring and reporting
Public health · Digital programme

Digital health screening programme

  • Mobile app
  • Programme delivery
  • Change management

1Challenge

Health screening vouchers were distributed physically, which limited reach and made uptake hard to track.

2Solution

Led a team of 12 to digitalise the scheme into a mobile application, from requirements through rollout.

3Outcome

+150%
Screening, year on year
12
Team led
Paper → app
Distribution model
Health insurance · Fraud analytics

Health insurance claims and fraud analytics

  • Python
  • SQL Server
  • SharePoint
  • Power BI

1Challenge

Claims data across firms, health providers and beneficiaries sat in separate systems and Excel workbooks, so fraud and weak provider performance went undetected.

2Solution

Analysed the insurance market in Python, modernised ETL from SQL Server, SharePoint and OneDrive into Power BI, and led the move from Excel for executives and analysts.

3Outcome

$2M
Fraudulent claims identified
+25%
Provider performance
+70%
Analysis workflow
Career

Experience

Medicine, public health, insurance, financial services and energy.

  1. Jan 2025 – PresentCurrent Senior Data Analyst, Data Analytics and AI bp · Business Intelligence, Integrations and Operations MI

    Delivers the unified Fabric and Databricks data platform, global demand planning, sustainability and health MI across six regions; runs sprints for a cross-functional team of 12 with 95% on-time delivery.

  2. Apr 2024 – PresentCurrent Lead Instructor, Data Analytics and Risk TYMBA Education

    Leads the Chartered Accountants ANZ masterclass modules in Data Analytics and Insight, and Risk, Technology and AI.

  3. Apr 2023 – PresentCurrent Founder Digital Qasas

    Analytics consultancy and training in healthcare, financial modelling and reporting automation, and project and risk management.

  4. Dec 2023 – Jan 2025 Lead Data Analyst, Data, Analytics and Digital Intelligence Kotak Sakti

    Led financial and risk analytics across 700 branches and a team of 15, building a star-schema warehouse and Power BI reporting to ISO 8000.

  5. Dec 2023 – Sep 2024 Lead Power BI Developer PETRONAS

    Lead developer for Power BI reporting.

  6. Aug 2022 – Sep 2023 MSc Health Policy, Planning and Financing LSE and LSHTM · London

    Full-time postgraduate study in London during a career break (Yayasan Khazanah).

  7. Jan 2021 – Sep 2022 Lead Policy Analyst (Medical Doctor), Health Insurance Analytics PERKESO (Social Security Organisation)

    Led a team of 12 to digitalise health screening (+150% YoY), identified $2M in fraudulent claims and moved executive reporting from Excel to Power BI.

  8. Mar 2018 – Jan 2021 Medical Doctor Ministry of Health, Malaysia

    Clinical service, and automated staffing and logistics reporting to plan hospital resources through the peak of COVID-19.

Thought leadership

Building capability

97%Pass rate
TYMBA Education · CA ANZ and MICPA

Data Analytics and Insight · Risk, Technology and AI

Lead instructor on the professional qualification masterclass. 100+ students with a 97% pass rate against 87% globally.

500+Clients taught
Digital Qasas

Excel, SQL and Power BI

Intermediate to advanced courses for 500+ clients across finance, healthcare and the public sector.

70Healthcare clients
Digital Qasas

Epidemiology and biostatistics

Foundations of epidemiology and biostatistics for healthcare professionals.

Education

Education

  • MSc Health Policy, Planning and Financing

    London School of Economics and London School of Hygiene and Tropical Medicine

    2023

  • Bachelor of Medicine, Bachelor of Surgery (MBBS)

    Jordan University of Science and Technology

    2017
Credentials

Certifications and recognition

View all on Microsoft Learn

  • Microsoft Certified: Power BI Data Analyst Associate

    Microsoft · PL-300 · 2023

    Verify

  • Microsoft Certified: Fabric Analytics Engineer Associate

    Microsoft · DP-600 · 2023

  • Microsoft Certified: Fabric Data Engineer Associate

    Microsoft · DP-700

  • Project Management Professional (PMP)

    Project Management Institute

  • Microsoft Certified Trainer (MCT)

    Microsoft

  • Fellow

    Royal Statistical Society · 2023

Show all 21 credentialsHide full list

Data, AI and cloud

  • Microsoft Certified: Power BI Data Analyst Associate

    Microsoft · PL-300 · 2023

    Verify

  • Microsoft Certified: Fabric Analytics Engineer Associate

    Microsoft · DP-600 · 2023

  • Microsoft Certified: Fabric Data Engineer Associate

    Microsoft · DP-700

  • Microsoft Certified: Azure Data Engineer Associate

    Microsoft · 2023

  • Microsoft Certified: Azure Data Scientist Associate

    Microsoft · 2023

  • Azure Data Fundamentals · Azure AI Fundamentals

    Microsoft

  • AWS Certified Cloud Practitioner

    Amazon Web Services · 2023

  • Tableau Analyst (Fundamentals, Intermediate, Advanced)

    Tableau

  • Google Advanced Data Analytics · Google Data Analytics

    Google · 2023

  • Google Cloud Skills Badge

    Google Cloud

Delivery, teaching and finance

  • Project Management Professional (PMP)

    Project Management Institute

  • Microsoft Certified Trainer (MCT)

    Microsoft

  • Certified Train the Trainer

  • Certified FinOps Engineer

    The FinOps Foundation · 2024

  • Financial Market Analysis · Financial Programming and Policies · Macroeconomic Accounts and Analysis

    International Monetary Fund · 2024

Health, safety and risk

  • Certified Medical Impairment Assessor (CMIA)

    NIOSH

  • Certified Impairment Medical Examiner (CIME)

    ABIME

  • Certified Disability Management Professional (CDMP)

    Universiti Malaya

  • ISO 45001:2018 Occupational Health and Safety Management Systems

  • ISO/IEC 31010:2019 Risk Assessment Techniques

Recognition

  • Fellow

    Royal Statistical Society · 2023

Writing and courses

Read and learn on Digital Qasas

Guides, courses and notes on data, analytics and decision-making.

Visit Digital Qasas