❤️ CardioRisk AI
A research-grade machine learning system for Coronary Artery Disease (CAD) risk classification, built to TRIPOD-AI reporting standards and deployed as an interactive Streamlit app.
View ProjectMedical doctor turned AI engineer. I build clinical machine-learning systems and executive analytics dashboards, turning healthcare and business data into decisions that save time, money, and lives.
I am Awwal Abdulrahman, MD, an AI Engineer, Full Stack Data Scientist, and researcher, and the founder of HayMedics Academy, a hub for data, research and innovation in healthcare.
I bridge clinical medicine and data science: from research-grade machine-learning systems built to TRIPOD-AI reporting standards, to executive Power BI dashboards that give decision-makers instant clarity.
Whether it's predicting cardiovascular risk, detecting stroke early, or surfacing the story inside business data, my goal is the same: actionable intelligence.
A research-grade machine learning system for Coronary Artery Disease (CAD) risk classification, built to TRIPOD-AI reporting standards and deployed as an interactive Streamlit app.
View ProjectAn AI-powered system designed for early stroke detection, risk assessment, and monitoring, supporting clinicians with timely, data-driven intervention.
View ProjectAn AI-powered drug-drug interaction (DDI) checker. Select two or more medications and the app screens every pair, predicts the most likely interaction type, explains why, and produces a downloadable report.
View ProjectAn AI-powered personal assistant that answers questions about Dr. Awwal Olalekan Abdulrahman's career, clinical experience, data science projects, and HayMedics Academy.
View ProjectAI agents that research each lead, write a personalised cold email, and prepare it for sending, running entirely on free-tier AI.
View ProjectAutomatic clinical and healthcare data cleaning and transformation, with a receipt of what changed.
View ProjectAn interactive Excel dashboard exploring public-health outcomes across 53 African countries (2000-2022), built on a clean star-schema dataset with live formulas, four geographic choropleth maps, and a written report and insights pack.
View ProjectTransforming healthcare data into actionable insights, an executive ER dashboard analysing 9,216 patient visits: wait times, satisfaction, demographics and department referrals.
View ProjectBuilding an executive sales analytics dashboard in Power BI, star-schema modelling, DAX measures for profitability and LBS tracking, field parameters and bookmark navigation.
View ProjectAn interactive Excel dashboard analysing 3,000 health-insurance claims across 7 regions and 5 HMOs for the year 2024.
View ProjectAn interactive, single-file Excel dashboard that turns 20,000 rows of raw sales data into a clean, navigable analytics report, built entirely with live formulas and charts.
View ProjectAn interactive Excel dashboard that turns 2,400 hospital admission records into a clear operational story: how long patients stay, how full the beds are, why discharges get delayed, and what it costs.
View ProjectA beginner-friendly SQL project building a retail store database, tables, relationships and queries that answer real business questions.
View ProjectA data-driven public-health analysis of a malaria KAP survey conducted during a community health outreach in Madi Community, Ilorin, Nigeria.
View ProjectThis section updates automatically, every new public repository I publish appears here.
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Have data that needs a story, or a healthcare problem AI could help solve? Reach out, I respond quickly.