AI for Health: Innovating in Africa
Welcome! I'm Musau Kisee, a Nairobi-based ML Engineer and Data Scientist applying AI to transform digital health. Discover my projects and expertise.
Featured Projects
A curated selection of my key works, showcasing diverse skills and innovative solutions.
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Professional Skills
A glimpse into my technical expertise and the tools I use to build innovative solutions.
Extensive experience in Python for ML, data analysis, and backend development.
TensorFlow, PyTorch, Scikit-learn for building and deploying predictive models.
Pandas, NumPy, Matplotlib, Seaborn, PowerBI/Tableau for insights and reporting.
Analyzing text data, sentiment analysis, topic modeling (NLTK, spaCy).
Image classification and object detection basics (OpenCV, TensorFlow).
Working with SQL (PostgreSQL) and NoSQL databases for data storage.
Building RESTful APIs with Flask and Django to serve ML models.
Familiarity with AWS or GCP for model deployment and data storage.
Understanding of mHealth, USSD, SMS gateways, and EMR/EHR concepts.
Certifications & Accolades
Committed to continuous learning and staying at the forefront of AI in digital health.
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My Approach to Digital Health Innovation
Building impactful and sustainable digital health solutions requires a thoughtful and tailored strategy. Here are the core principles that guide my work:
Solutions are designed with a deep understanding of the local healthcare landscape, challenges, and opportunities within African contexts.
Prioritizing the needs and experiences of healthcare workers and patients to ensure usability, adoption, and real-world impact.
Leveraging data analytics and machine learning to inform decision-making, optimize interventions, and measure outcomes effectively.
Working closely with stakeholders and adhering to ethical AI principles to build trust and ensure responsible technology deployment.