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Moises Assis is a Senior Data Scientist specializing in Recommender Systems at Wellhub since September 2023, contributing to the Search & Discovery team by developing a Deep Learning-based Recommendation Engine and enhancing popularity recommendation strategies for diverse user groups. Prior experience includes a role as a Senior Data Scientist at Multivision - Consulting, where Moises Assis worked on machine learning projects for a Portuguese bank, focusing on customer risk assessment, transaction forecasting, account balance forecasting, and document classification with NLP. At QuintoAndar, Moises Assis built and improved algorithms for house recommendations based on user history and preferences. In earlier positions at Take, strategic forecasting of key growth metrics and user engagement measurement were key responsibilities. Moises Assis holds a Bachelor of Engineering in Systems Engineering from Universidade Federal de Minas Gerais, completed in July 2019.