Connecting
Health Systems
That Matter.

Led live data interpretation and annotation for AI training datasets, strengthening data integrity pipelines directly transferable to healthcare data quality validation.

• Led live data interpretation using annotation systems, maintaining an error rate below 5%.
• Enhanced dataset integrity for AI training, improving reliability by over 40% across projects.
• Optimised audio annotation with data classification and tagging, processing 2,500 files daily.
• Achieved 98% transcription accuracy, reducing project turnaround times by 30%.
• Strengthened data integrity pipelines used for AI model training, directly transferable to healthcare data quality validation for AI readiness.

Applied data science and machine learning techniques to real-world datasets, building end-to-end ETL and ML pipelines with direct relevance to AI-enabled healthcare platforms.

• Extracted, transformed, and loaded structured data for analysis, ensuring high data integrity and accuracy.
• Visualised cleaned data using Python, Pandas, NumPy, Matplotlib, and Seaborn to analyse population distribution across 100+ countries.
• Applied a Decision Tree Classifier on demographic and behavioural data to predict customer purchases with 85% accuracy.
• Performed sentiment analysis using Python and basic NLP techniques to assess social media opinions on specific topics.
• Built ETL and ML pipelines to analyse, validate, and optimise large datasets, reinforcing ability to support AI-enabled healthcare platforms downstream of integration layers.

Led end-to-end implementation of complex lab and EMR interface projects across 25+ provider facilities, installing and configuring proprietary healthcare software remotely within multi-solution environments.

• Owned full lifecycle interface delivery including requirements gathering, project planning, HL7 message mapping (ADT, ORU, ORM, DFT, SIU), and validation using JSON, XML, and CSV formats over API, SFTP, VPN, and TCP/IP connectivity.
• Performed SQL-driven root-cause analysis and interoperability QA, improving data quality, reducing production escalations by 30%, and sustaining 99%+ uptime.
• Standardised business requirement documentation, interface mapping artifacts, QA checklists, and change control logs, reducing onboarding timelines by 25% and ensuring audit-ready maintenance handoff.
• Acted as primary client-facing technical lead and architecture advisor, managing escalations, aligning stakeholders, and improving integration efficiency by 40%, contributing $300K+ in revenue.

Analysed marketing campaigns and applied statistical modelling to deliver actionable insights, improving ROI and brand performance across multiple industries.

• Analysed marketing campaigns using data assessment, increasing sales by 12% and 8% across industries.
• Applied advanced Excel functions and statistical analysis to improve Marketing Mix Model accuracy by 20%.
• Optimised marketing ROI by $500K through strategic budget reallocations based on identified KPIs.
• Delivered actionable insights that enhanced strategic decision-making and boosted brand awareness by 15%.