Junior Data Scientist · Machine Learning for Healthcare
I am a Biomedical & Mechatronics Engineer from Kyambogo University based in Kampala, Uganda, working at the intersection of machine learning and cardiac care — building low-cost tools to close the diagnosis gap for non-communicable diseases in Sub-Saharan Africa.
- Applying ML/AI to early diagnosis of Non-Communicable Diseases (NCDs) in Low- and Middle-Income Countries
- Biomedical signal processing — ECG analysis and wearable cardiac monitoring
- Epidemiology and data analysis for primordial prevention
| Project | What it is |
|---|---|
| Wearable MI Detection System | Lead-agnostic ECG + clinical-risk-factor fusion for MI screening in low-resource settings. Open research code, full model card, TRIPOD+AI-aligned reporting. 🏆 HSB Grant – Innovate Africa recipient · presented at National Science Week 2025 and the NCD Conference in Gulu, Uganda. |
| ecg-prototype-mvp | ECG signal capture prototype using an Arduino UNO R4 and AD8232 sensor. |
| sheria_yangu | Multi-agent system for legal document analysis in Uganda (Kaggle Capstone Challenge Submission). |
Languages & data — Python · NumPy · Pandas · SciPy · Matplotlib · R ML / AI — scikit-learn · TensorFlow · Anaconda Backend & infra — FastAPI · Firebase · SQLite · MySQL Hardware — Arduino
- Working on: the wearable MI detection system
- Open to: collaboration on ML/AI for medical diagnosis of NCDs in LMICs, and epidemiology research on primordial prevention
- Ask me about: biomedical signal processing, cardiology tech, mechatronics, digital health