I am a machine learning researcher and geospatial data scientist with hands-on experience applying ML to environmental and Earth science datasets. I have built geospatial ML pipelines, performed remote sensing analysis, and integrated atmospheric/hydrological modeling with satellite data and numerical outputs. I’m proficient in Python-based ML/data pipelines, cloud platforms (AWS, GCP, Azure), and geospatial tools (Google Earth Engine, QGIS, ArcGIS).
I focus on rigorous model evaluation, reproducible research workflows, and bridging scientific tasks with ML outputs. I’m excited to apply ML to weather prediction, climate downscaling, and extreme event detection, with attention to model bias, hallucination, and domain correctness across multilingual contexts (Swahili/English).
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