Jonathan Arriaga

Jonathan Arriaga is an accomplished data science professional with extensive experience in various roles across several prestigious organizations. Currently serving as Vice President of Data Science at MSCI Inc., Jonathan has designed and developed an Anomaly Detection framework utilizing Python to identify outliers in Equity and Factor Models datasets. Previously, as a Postdoctoral Researcher at Stanford University, Jonathan developed text classification models based on police reports. Other roles include Analytics Model Engineer at MSCI Inc., Data Scientist at GE Aviation, and Web Developer in multiple capacities. Jonathan's educational background includes a Ph.D. in Information Technology and Communications, a Master's degree in Intelligent Systems, and a Bachelor's degree in Mechatronics, all from Tecnológico de Monterrey.