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Start for FreeFelipe Lima
Consumer Insights and Operations Director (Latam) @Offerwise
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WORK HISTORY
Consumer Insights and Operations Director (Latam) @Offerwise
EDUCATION
Universidade Federal de Minas Gerais
Master in Political Science, Elections, Quantitative and Qualitative Methods, Public Opinion and Legislative studies
PUC Minas
Bachelor in Information Science
UCLA
Visiting PhD Student (Fulbright Scholarship), Political Science
Universidade Federal de Minas Gerais
Doctorate in Political Science, Elections, Quantitative and Qualitative Methods, Public Opinion and Legislative Studies
PUC Minas
Bachelor in Social Science
Universidade Federal de Minas Gerais
Pós-Doc, Political Science - Survey Experiment and Clientelism
SKILLS
ABOUT FELIPE LIMA
Research Director with background in higher education, public policy, social media and consumer product sectors. Track record of applying expertise in behavioral science and information management across a wide range of industries and to all aspects of project design to improve efficiency and grow business. Proven ability to recruit, train, and mentor analyst teams while engaging in hands-on approach to project methodology and execution. Excellent interpersonal, supervisory, and scientific thinking skills.Leadership - Established research institute\'s data team and expanded to division of a full-time analysts. Widened client base and appointed director within ten years. Help to build social media company\'s LATAM research analyst team from zero to seven within twelve months. Data Analysis and Research - Drawing on knowledge of statistics, methods, and programming, developed customized tools utilizing rapidly evolving technologies for internal and external clients in private and public sectors. Leveraged academic background and partnerships to provide comprehensive results gleaning maximum insights. Project Design - Planned and oversaw all aspects of public opinion polling, survey design, data collection and analysis for largest private market research company in Brazil. Implemented experimental survey, big data analytics, and multivariate statistics methodologies where appropriate.
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