Remote

I develop AI-driven solutions for climate resilience and food security, collaborating globally. In Kenya, I optimized time-series models for maize yield, boosting accuracy by 15%, and led geospatial analysis for river water quality, improving forecasts by 20% using Rasterio. In Italy, I processed LCLU, CO₂, and vegetation data via GEE, enhancing model accuracy from 85% to 93% and stakeholder engagement by 25%. Skilled in time-series modeling, GIS, Rasterio, and Google Earth Engine.