Sector
Healthcare
Modernising the data estate of the UAE's largest private healthcare provider.
Principal Data Scientist at NMC Healthcare. Led the migration from a fragmented legacy estate to Snowflake, standardised clinical and claims data, and put ML into production for length-of-stay and readmission prediction.
Client
Organisation
NMC Healthcare
Engagement Type
Data Science & Analytics Consultancy
At a glance
10+
Hospitals in scope
Snowflake
Target cloud platform
M+
Patient records standardised
Context
NMC operates the UAE's largest private hospital network. Decades of acquisitions had left clinical, claims, and finance data spread across incompatible systems, with little common vocabulary between them. The brief: produce one estate the board could govern — and make it usable for operational analytics and clinical ML.
Capabilities
- Large-scale migration of healthcare datasets to Snowflake
- Clinical and claims data standardisation across hospital systems
- ML models for length-of-stay and readmission risk
- Data governance frameworks and quality monitoring
- Principal-level leadership of the data science team
- Executive reporting bridging clinical, operational, and finance data
Projects
Work delivered.
Snowflake Migration
Architected and led the migration of fragmented healthcare datasets to Snowflake. Built scalable cloud infrastructure for analytics and clinical reporting workflows.
— Cloud— Snowflake
Clinical Data Standardisation
Standardised complex, unstructured clinical datasets into unified formats. Improved interoperability across hospital systems and reduced silos.
— ETL— Standards
ML for Clinical Analytics
Developed ML for patient outcome prediction and resource allocation. Models used in day-to-day clinical operations.
— ML— Outcomes
Team Leadership
Led the data science team as Principal. Mentored analysts, set governance standards, and bridged technical and business stakeholders.
— Leadership
Next step