Daniela is a Data Science for Social Good Fellow at the University of Warwick, UK, a program funded by The Alan Turing Institute and Microsoft. She works alongside UNICEF and Save the Children using ML and AI methods to predict multidimensional child poverty in developing countries. She is an experienced Data Scientist that has aided NGOs and government agencies to resolve data quality issues and prioritize evidence-based decision-making through ML solutions. Her research focuses on understanding and solving public policy problems such as unemployment and misinformation through quantitative-qualitative high-impact methods. Daniela is a Master’s candidate for a double degree in Data Science and applied Economics (ITAM). Previously, she completed undergraduate studies in Law and Economic Theory.