Technical Expertise
Machine Learning, Remote Sensing & AI for real-world impact
Core Stack: Python, R, GEE, XGBoost, LightGBM, PyTorch, AWS
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Turning data into action
Data Scientist working at the intersection of Remote Sensing, Machine Learning, and AI to drive climate resilience, agroforestry optimization, and data-driven decision-making.
Machine Learning, Remote Sensing & AI for real-world impact
Core Stack: Python, R, GEE, XGBoost, LightGBM, PyTorch, AWS
A production-ready AI system that recommends optimal tree species using remote sensing, climate, and geospatial data.
Comparing allometric and machine learning models for aboveground biomass estimation in Kenyan agroforestry systems.
End-to-end geospatial ML pipeline using Sentinel-1 and Sentinel-2 data for forest species classification.