Daniel is a Data Scientist Intern at Recidiviz. Previously, he was an economist at the Central Bank of Mexico where he specialized in data analysis within the manufacturing industry and contributed to research projects influencing monetary policy decisions. Daniel also contributed to developing a model to predict economic recessions in Mexico. He is currently pursuing a Master of Science in Computational Analysis and Public Policy at the University of Chicago as a Fulbright grantee. Outside of work and academics, Daniel is a big sports fan and enjoys playing football/soccer, likes to read novels and play video games during his leisure time.
A diverse, equitable, and inclusive workplace is essential to our mission. People come to Recidiviz to contribute to an urgent cause, and to work alongside incredible coworkers who care as much as they do. To ensure that we’re building intentional products and amplifying the work of others in the reform ecosystem, we are committed to fostering a diverse team that reflects the people we serve.
We combine the efficiency of a tech company with the heart of a non-profit. Recidiviz began as a volunteer project at Google and has since grown into one of the brightest, kindest teams that civic tech has to offer. Our north star: safely and fairly shrinking the criminal justice system.