Fernanda Borém is a Data Scientist at iFood since June 2022, specializing in Marketing Mix Modeling (MMM) to assess media performance through time series and multivariate regression. Previously, in the role of Data Analyst Pl, Fernanda conducted statistical analyses on retention data and supported machine learning model development while overseeing experiment governance within the Data Marketing team. Fernanda's experience includes positions at Wine.com.br where responsibilities encompassed e-commerce testing and UX research, as well as a scientific initiation scholarship at FAPES focused on research projects. Fernanda holds a Bachelor's degree in Statistics from the Universidade Federal do Espírito Santo, a certification from The International Biometric Society, and is currently pursuing a postgraduate degree in Applied Statistics at Anhanguera Educacional, alongside ongoing studies in Data Science at PUC Minas.
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