Zinnya del Villar is the Director of Technology, Data, and Innovation at Data-Pop Alliance. She has 20 years of experience working with data applied to different sectors. She worked as quantitative analyst in Mexico performing economic, financial and political data analysis; as an independent data consultant in Mexico and USA working with genetic and health data; as a biostatistician researcher in France working with clinical trials, and as chief data scientist in France and Mexico working with mobility data applied to smart cities and supply chain projects. Before joining the DPA team, she collaborated as Data Mentor at UNDP Data Innovation Clinics of the Eurasia region.

Throughout her career, Zinnya has also been a professor of statistics, probability and data science in Mexico (UNAM and ITAM) and France (ENSAI and Université de Rennes). Furthermore, she has helped to improve data literacy and disseminate the responsible and ethical development, implementation and operation of machine learning systems by participating in meet-ups, conferences and podcasts.

Zinnya is a promoter of STEM women and gender equality and in recent months she has been engaged in the research on data quality in gender-based violence and the creation of gender-sensitive data through the use of new technologies and methodologies, as well as on the importance of data science for public policy.