I'm a data professional interested in using AI, data science and modern data technologies to solve practical healthcare challenges, particularly within African contexts. My background spans data analytics, data engineering and applied AI. I'm especially interested in health data systems, disease surveillance, climate-sensitive infectious diseases, digital health innovation and AI-powered decision-support systems.
I'm exploring how AI and data technologies can support better healthcare and public-health decision making across Africa.
Some of the areas I'm actively developing projects around include:
- Climate-sensitive disease risk analysis
- Health monitoring systems
- Public-health surveillance
- Predictive analytics for healthcare
- AI-enabled decision-support tools
Built an end-to-end real-time health monitoring pipeline** simulating smartwatch heart-rate data, streaming it through Kafka from a **MySQL staging environment to PostgreSQL, and visualising live health metrics through an auto-refreshing Grafana dashboard.
Tech: Python • Apache Kafka • MySQL • PostgreSQL • Grafana • Docker
The project explores how streaming data infrastructure can support real-time health monitoring and future digital-health applications.
Python • SQL • Power BI • Data Analytics • Machine Learning
PostgreSQL • MySQL • Apache Kafka • Apache Airflow • Docker • ETL Pipelines • Real-Time Data Streaming
Machine Learning • Applied AI • PyTorch • TensorFlow
AWS • Git • VS Code • Docker
I'm involved in the Climate-Sensitive Infectious Disease Network (CSIDNet), where I engage with the intersection of climate, infectious diseases and public health. I'm also interested in Africa's growing AI ecosystem and in how advances in AI can be translated into practical solutions for healthcare challenges across the continent.
