Data for healthier people, stronger systems and smarter decisions
I build data-driven solutions at the intersection of public health, analytics, data science and artificial intelligence — translating complex evidence into decisions, products and measurable impact.
01 Founder & Lead ConsultantONE Light AnalyticsAnalytics · Research · Decision Intelligence ↗
Case studies
Health is the core domain. Data analytics, data science and AI engineering are the capability layers. Selected commercial and research case studies demonstrate breadth without diluting the health-first positioning.
Health & Public Health
National pathway analysis of antenatal, delivery and postnatal care using survey-weighted methods to reveal where continuity breaks across geography and socioeconomic groups.
Population Health · Research
Survey-weighted analysis of how multimorbidity varies across adulthood by education and family poverty, with multiple imputation and regression modelling.
Business & Commercial
Customer, revenue and product intelligence designed to reveal concentration risk, growth quality, repurchase behaviour and overlooked commercial value.
Market & Growth Intelligence
Public-data market intelligence connecting broadband momentum, infrastructure feasibility, pricing and geographic screening to expansion decisions.
Business & Commercial
An executive BI architecture connecting revenue, margin, targets, branch performance, customer value, inventory and operating costs into one management view.
Health & Public Health
A clinically grounded machine-learning workflow for predicting cardiometabolic risk, comparing models, calibrating probabilities and explaining drivers of risk.
Health Systems
Provider and patient-risk modelling designed to connect predictive performance with quality improvement, explainability and targeted intervention decisions.
Research & Decision Intelligence
Geospatial and unsupervised-learning analysis to identify population segments with distinct vulnerability, access and service-use profiles for better targeting.
Business & Commercial
Time-series forecasting and decision rules for anticipating demand, reducing stock risk and improving inventory allocation across products and locations.
Health & Public Health
Forecasting and spatial-risk modelling to identify changing disease burden, priority geographies and uncertainty for planning and resource allocation.
Health · Research
A retrieval-augmented evidence application designed to answer health questions from curated sources with traceable citations, structured retrieval and safety boundaries.
Public Health Intelligence
An agentic workflow for gathering public-health signals, detecting meaningful change, synthesising evidence and producing concise decision-ready briefings.
Digital Health
An interoperable AI application concept for navigating structured health records, extracting meaningful patient context and supporting safe, explainable data interaction.
Business & Commercial
A multi-workflow agent for property matching, lead handling, shortlets, investor reporting, facilities coordination and management intelligence.
Decision Intelligence
A conversational analytics system for exploring business data, retrieving trusted metrics, generating explanations and accelerating evidence-based management decisions.
Capabilities & technology
The stack is intentionally broad but structured around real delivery: analytics, data engineering, cloud, machine learning, AI applications and health-data interoperability.
Decision-focused analytics, complex survey methods, BI, reporting models and reproducible evidence workflows.
Predictive modelling, forecasting, segmentation, explainability, validation and production-minded ML workflows.
RAG, agentic workflows, APIs and intelligent applications designed around grounded evidence and usable interfaces.
R · Python · SQL · Power BI · Tableau · Excel · Stata · SPSS
PostgreSQL · DuckDB · dbt · Spark · Databricks · Airflow / Prefect · APIs
AWS · Azure · Google Cloud · BigQuery · SageMaker · Azure ML · Vertex AI · Docker · GitHub Actions · DVC
RAG · Agents · OpenAI API · Hugging Face · LangGraph · FastAPI · Streamlit · Vector Search
FHIR · HL7 concepts · ICD-10 · OMOP / OHDSI · Epidemiology · Biostatistics · Health Systems Research
How I work
Health is the domain. Analytics, data science and AI are the tools. Better decisions are the outcome.
I care about rigorous methods, reproducibility, useful interfaces and the quality of the decision at the end of the workflow.
I am a health-data and research professional working across population health, health systems, inequality, analytics, data science and applied AI. My work increasingly spans the full path from raw data to analytical models, deployed products and decision support.
The portfolio is intentionally multidisciplinary. Health and public health remain the strongest domain anchor, while selected business, commercial and research problems demonstrate the ability to transfer analytical thinking across sectors.
Selected experience
Experience across consulting, research, public health and organisational analytics provides the context behind the technical portfolio.
Building an analytics and decision-intelligence consultancy that helps organisations turn complex commercial, operational and research data into stronger decisions, strategy and performance.
Led mixed-methods organisational research and built monitoring and learning structures to support management decisions and implementation.
Supported secondary health-data analysis, digital-health monitoring, literature review and evidence translation for programme planning.
Developed research proposals, analysis plans and mixed-methods studies, translating findings into decision-focused reports and presentations.
Start a conversation
I’m open to international remote roles, consulting engagements, freelance projects and research collaborations where rigorous evidence needs to become useful action.