Zinnya del Villar

Zinnya del Villar has a diverse work experience in the field of data science and analytics. Zinnya started their career as a Quantitative Analyst at GEA GRUPO DE ECONOMISTAS Y ASOCIADOS, where they managed economic and political data and provided economic and financial forecasts. Zinnya then worked as a Lecturer at Facultad de Ciencias, UNAM, and later contributed as a Contributing Author for Arquimedes at Universidad Nacional Autónoma de México. Zinnya also worked as a Biostatistician at CHU Rennes and as a Data Consultant on a freelance basis, where they worked with large, complex datasets doing statistical analysis and modeling. Zinnya later joined Data2B as the Chief Data Scientist and played a crucial role in providing projections and models for the business. Zinnya also served as the Head of Data2B Mexico. Zinnya continued their teaching career as an External Lecturer at Ecole nationale de la Statistique et de l'Analyse de l'Information and as a Lecturer at Université de Rennes 2. Zinnya further honed their expertise as a mentor for Data Innovation Clinics at UNDP before joining Data-Pop Alliance as a Senior Data Scientist and eventually becoming the Research Director for Data Science. Throughout their career, Zinnya has demonstrated their proficiency in data analysis, modeling, and providing valuable insights to organizations.

Zinnya del Villar's education history is as follows:

From 1996 to 2001, Zinnya del Villar attended Facultad de Ciencias, UNAM, where they obtained a Bachelor of Science (BSc) degree in Actuarial Sciences.

In 2008, they enrolled in IIMAS, UNAM and completed their Master of Science (M.Sc.) degree in Probability and statistics in 2010.

After that, from 2010 to 2012, Zinnya del Villar pursued a Master of Science (M.Sc.) degree in Applied Mathematics at Université de Rennes I.

Lastly, in 2018, they joined Rennes School of Business and successfully completed an Executive MBA with a specialization in Supply Chain Major in 2020.