Applied Data Fellow
Oscar joined the TMW Center in 2021.
As Applied Data Fellow for the ECM team, he analyzes complex data sets for the purpose of extracting applicable information as well as developing, testing, and validating machine learning algorithms.
Prior to the TMW Center, he worked as a Data Analyst for Mexico’s National Electoral Institute, and has been a researcher for several NGOs and Think Tanks in Mexico.
He lives in Chicago and his favorite book from early childhood is The Number Devil: A Mathematical Adventure.