Ángel Escalante

Ángel Escalante's work experience begins in 2017, when they joined Precitool as a Data Scientist until March 2018. In 2018, they moved to Kantar, where they held multiple roles including Data Scientist from May 2018 to August 2019, Analytics Developer from August 2019 to January 2022, and Senior Data Scientist from December 2021 to August 2022. Currently, Ángel is working at Appsilon as an R Shiny Developer starting from September 2022.

Ángel Escalante received a Bachelor's degree in Actuarial Science from the Benemérita Universidad Autónoma de Puebla, where they studied from 2011 to 2017. Ángel then pursued further education at the Universidad Nacional Autónoma de México, earning a specialization in Applied Statistics with a focus on Mathematics and Statistics from 2023 to 2024. In addition to their formal education, Ángel has obtained various certifications to enhance their skills. Ángel obtained certifications in Neural Networks and Deep Learning from DeepLearning.AI, JavaScript Algorithms and Data Structures from freeCodeCamp, Docker for Data Scientists from LinkedIn, Mathematics for Machine Learning: Linear Algebra from Imperial College London, Statistical Learning from Stanford Online, Azure: DevOps y VSTS esencial from LinkedIn, Bayesian Modeling with RJAGS from DataCamp, Building Web Applications in R with Shiny from DataCamp, and Marketing Foundations: Market Research from LinkedIn, between 2018 and 2021.