Roberto Cabal López

Roberto Cabal López is a Lead Data Scientist at FEMSA since December 2022, where responsibilities include analytics for real-time data to combat suspicious activity, team management, and AML data analysis. Expertise encompasses fraud prevention, development of new algorithms, application of causal inference methods, and ETL processes using Python and PostgreSQL. Prior experience includes serving as a Data Scientist at Tribal, focusing on time series forecasting and dashboard deployment, and multiple roles at Intelimétrica and Pondera, where geographic data analysis, ML model development for predicting house quality and credit monitoring were key tasks. Holding a Master's degree in Probability and Statistics from CIMAT Aguascalientes and a Bachelor's degree in Actuarial Science from Universidad Autónoma de Yucatán.