- 🌱 I'm a data scientist based in South Africa, working at the intersection of climate, health, and machine learning.
- 🔬 Currently pursuing a PhD at Wits School of Public Health, with research focused on heat vulnerability in urban settings, particularly Johannesburg.
- 🧠 My technical interests include:
- Survival analysis and biostatistics in Python
- Forecasting and predictive modeling
- Explainable AI (e.g., SHAP, XGBoost)
- Climate-health linkages using satellite data and geospatial analytics
- 🛠 I work with tools like Python, SQL, GEE, R, Streamlit, Firebase, Git, and JupyterHub.
- ☁️ I’m actively building pipelines to migrate and harmonize multi-site health data from on-prem systems to cloud-based research infrastructure, in compliance with NIH and institutional requirements.
- 📊 I believe in transparent, reproducible science—sharing notebooks, pipelines, and harmonized datasets to support collaborative research.
- 🤝 I'm open to collaborating on anything related to:
- Climate-health analytics
- Forecast modeling
- Sustainable and ethical data management
- ⚽️ Outside of research, I enjoy endurance sports and following football.
- 📫 Reach me at: craigparker6@gmail.com
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Wits Planetary Health, University of Witwatersrand
- Cape Town, South Africa
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19:33
- 2h ahead - https://www.he2at.com/
- https://orcid.org/0000-0003-2517-929X
- @logicSA06182
Highlights
- Pro
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