Healthcare analytics
CPES and U16CPES analysis, quality assurance, subgroup feasibility, response-rate reporting and patient-experience insight.
Data Science • NHS Analytics • Cloud BI
Turning complex health, research and business data into decisions people can trust.
I am Imonikhe Ayeni, MBCS, AphA — a Principal Insight Analyst and Data Scientist with 7+ years of experience across healthcare, financial services and academic research. I specialise in healthcare analytics, machine learning, Power BI, Python, R, SQL and cloud data platforms including Azure, AWS, Databricks, Snowflake and Oracle.
7+ yearsAnalytics experience
NHSPatient experience analytics
MScData Science Distinction
AWSML Engineer certified
What I Bring
I combine technical depth with stakeholder-focused communication, helping teams move from raw data to clear evidence, reliable reporting and better decisions.
Machine learning
Predictive modelling, model comparison, classification, regression, clustering, NLP and deployment-ready analytical workflows.
BI and dashboards
Power BI, Tableau, KPI design, DAX, executive reporting, Excel automation and reproducible reporting pipelines.
Research and geospatial
Academic research analytics, statistical modelling, geospatial pipelines, qualitative analysis and publication-ready outputs.
Selected Projects
A selection of machine learning, healthcare analytics, BI, cloud and research projects demonstrating end-to-end work: data sourcing, cleaning, modelling, evaluation, visualisation, reporting and deployment.
PythonMachine LearningFlask
Stroke Risk Prediction Model
Developed and deployed a machine learning model for stroke-risk prediction, comparing algorithms and building a user-facing Flask application.
Read case study
Time SeriesGARCHForecasting
Stock Volatility Analysis and Forecasting
Compared Microsoft and Apple volatility using GARCH and EGARCH models, validating volatility clustering, persistence and leverage effects.
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Random ForestRegressionEDA
Airbnb Predictive Pricing Model
Built pricing models using Ridge Regression and Random Forest with feature engineering and exploratory analysis to understand rental price drivers.
View project
NLPSentimentBusiness Impact
Digital Pulse of Conflict
Used sentiment and economic analysis to explore how global events shape business, markets and public discourse.
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GISPythonSpatial Analysis
Geospatial Analysis in Python
Mapped and analysed location-based patterns, showing how spatial data can uncover trends that support strategic decision-making.
View project
AWSCloudDeployment
Static Website on Amazon S3
A practical cloud deployment guide showing how static websites can be hosted, configured and published on AWS S3.
View guide
Microsoft FabricData Platform
Microsoft Fabric Free Trial Guide
A step-by-step guide for getting started with Microsoft Fabric using a personal email account.
View guide
Healthcare AIMultimodal ML
Machine Learning for Smart Healthcare
A multimodal approach to smart healthcare analysis, connecting analytical modelling with practical healthcare insight.
View projectExperience Snapshot
My background spans national healthcare analytics, applied academic research, business intelligence and customer experience analytics.
NHS Arden & GEM Commissioning Support Unit
Leading analytical delivery for CPES and U16CPES workstreams, including quality assurance, subgroup feasibility, reporting automation, geospatial analysis and stakeholder-focused insight.
Cardiff Metropolitan University
Supporting national research projects through data engineering, machine learning, statistical modelling, visualisation, qualitative analysis and publication-ready reporting.
Access Bank Plc / Diamond Bank Plc
Delivered SQL, Python, dashboarding, segmentation, campaign analysis, A/B testing and predictive modelling to support revenue growth, risk analysis and operational decision-making.
Skills & Certifications
Certified across machine learning, BI and cloud data platforms, with hands-on delivery experience in production-grade analytics and reporting environments.
PythonRSQLPower BITableauDatabricksAzureAWSSnowflakeOracle CloudMachine LearningNLPGeospatial AnalyticsStatistical ModellingExcel AutomationSPSSNVivoScrum Fundamentals
About Me
I bring together healthcare analytics, data science, research delivery and business intelligence. My work focuses on reliable evidence, reproducible analysis and communication that helps technical and non-technical audiences act with confidence.
- MSc Data Science with Distinction from Cardiff Metropolitan University.
- Professional Member of the British Computer Society and Association of Professional Healthcare Analysts.
- Certified in AWS Machine Learning, Power BI, Oracle Data Science, Azure AI, IBM watsonx and Snowflake.
- Experienced in mentoring junior analysts and translating complex technical work into clear business recommendations.
Contact
Open to professional conversations about healthcare analytics, research analytics, data science, BI dashboards, cloud analytics and collaborative projects.