Catholic University of the Sacred Heart, Milan, Italy
Ahmed is a Data Scientist, Quantitative Researcher and Program Evaluator. He has a PhD in Applied Machine Learning and Econometrics and extensive experience in both the academic and private sectors.
During the last few years, he has been applying his knowledge as a freelancer to build monitor and evaluation systems for environmental programs. Using Econometrics, Artificial Intelligence, and Satellite Imagery he developed an Early Warning System for Flood Prediction in Timor-Leste and a Monitoring Landfill system in Indonesia, to aid rural communities and governmental organisations.
During his PhD, he focused on different applications of Machine Learning techniques to estimate Program and Policy effects. He also contributed to the scientific literature by developing a multiobjective GIS framework for assessing the optimal allocation of new health care facilities in sub-Saharan Africa and by estimating the impact of COVID-19 on agricultural productivity in Bali, Indonesia.
He is extremely interested in how emerging technologies can be used to tackle social and environmental issues and generate tangible benefits.
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