Daniel completed his BS in Applied Mathematics with an emphasis in Statistics at California State Polytechnic University, Pomona. But soon after discovered Geographic Information Systems(GIS) upon researching Data Science concepts. He most recently completed his MS in Geographic Information Science at California State University Long Beach. Where his research emphasis was in developing an Empirical Bayesian Kriging Interpolation webtool using the ArcGIS JavaScript API. He has experience in maintaining and collecting GIS data as well as creating maps using industry standard cartographic design principles. Previously he worked on-site as a GIS Analyst responsible for the daily quality control and map creation of a multi-million dollar military-funded remediation project in Vieques, Puerto Rico.