HealthTech Data Scientist & AI Engineer · Lagos, Nigeria

I'm a human anatomist turned data scientist — which means I don't just work with health data, I understand what it represents biologically and clinically. I'm currently completing an M.Sc. in Public Health, and I build end-to-end data and AI solutions at the intersection of medicine and technology.

🎻 Outside of data, I'm a violinist. The precision and pattern recognition that classical music demands is exactly what I bring to every dataset.

• NLP & LLMs — fine-tuning biomedical language models, clinical NER, ICD-10 mapping, RAG pipelines
• Computer Vision — deep learning for medical imaging and image-based diagnostics
• Health data engineering — ETL pipelines, surveillance systems, geospatial analysis
• Clinical research analytics — statistical modelling supporting 40+ peer-reviewed research projects

Languages & Analysis

Machine Learning & AI

Data Engineering & APIs

Dashboards & Visualisation

Computer Vision Deep Learning Medical Imaging

Multi-label classification of 10 chest pathologies using DenseNet121 (CheXNet architecture) trained on NIH ChestX-ray14. Includes Grad-CAM heatmaps showing which image regions drive each prediction, and a live Streamlit demo.

NLP NER BERT Clinical Text Mining

Production-grade pipeline that extracts structured clinical knowledge from unstructured medical notes — diagnoses, medications, procedures, symptoms, and anatomical terms — using scispaCy and fine-tuned biomedical BERT, with automatic ICD-10-CM code mapping.

Survival Analysis Machine Learning R SHAP

Full clinical research pipeline combining R survival analysis (Kaplan-Meier, Cox PH) and Python ML (XGBoost, LightGBM) for patient mortality prediction on the Worcester Heart Attack Study (WHAS500), with SHAP explainability at both global and per-patient level.

Data Engineering FastAPI PostGIS Streamlit

End-to-end platform tracking 5 diseases across 37 states (2015–present). ETL pipeline parses 155+ NCDC PDFs into a PostGIS database, a FastAPI serves 20+ analytical endpoints (trend tests, outbreak detection, forecasting), and a live dashboard renders geospatial and statistical insights.

• Building expertise at the intersection of human anatomy, computer vision, and AI-assisted medical imaging
• Exploring robotics and multimodal models that combine anatomical knowledge with visual intelligence
• M.Sc. Public Health dissertation (LAUTECH, 2026)

Open to remote and global opportunities in HealthTech · Health Data Analytics · ML/AI Engineering · Clinical Research.