Natalia Martinez de la Viña has worked in a variety of roles since 2011. Natalia started as an Intern at Facultad de Ingeniería, UNAM, where they contributed to the construction of a Geographic Information System of roads and highways for a government agency. Natalia then served as a Teaching Assistant at Facultad de Ciencias, UNAM, where they wrote and graded coursework assignments and exams, taught classes, and tutored students. In 2014, they took a role as a Financial Assistant at SOLLAND LIMITED, where their responsibilities included processing payments, managing invoices, and following up with clients, suppliers, and partners. In 2020, they worked as a Data Scientist and Research Assistant at the University of Oxford. Most recently, they began working as a Data Scientist (Investigations) at Ravelin Technology in 2021.
Natalia Martinez de la Viña's education history includes a Bachelor's degree in Mathematics from Universidad Nacional Autónoma de México between 2006 and 2011, and an MSc in Network Science from Queen Mary University of London between 2018 and 2019. Additionally, they have obtained certifications from Coursera in Introduction to Data Science Specialization, Data Analysis with Python, Data Visualization with Python, Databases and SQL for Data Science, Python for Data Science and AI, and Open Source Tools for Data Science.
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