As an analyst on Forrester’s marketing data science team, Juan leads the insights and analysis coming from Forrester’s Mobile Audience Data. Juan works extensively with this large and complex behavioral data set, which contains activities tracked on consumers’ smartphones and tablets to lead statistical analysis, develop predictive models for consumer behavior, utilize statistical and advanced analytics techniques, and perform data mining. Using Forrester's Technographics® 360 multimethodology approach, Juan leads the development of new, proprietary methodologies and actionable data frameworks. His research agenda focuses on using advanced analytics to uncover insights in mobile trends, consumer behavior, and decision-making.
Previous Work Experience
Prior to joining Forrester, Juan was a data scientist at the Inter-American Development Bank. There, he deployed predictive models for the bank’s loans and operations; used text analytics to process millions of internal and external documents and better understand the synergies between internal and external communications; and developed network mapping algorithms to detect the most important influencers of the different development sectors of the bank.
Juan earned a B.A. in economics and Latin American studies from the University of Virginia; an M.S. in integrated marketing communication from Northwestern University; and an M.S. in business analytics from the George Washington University School of Business.