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Elaine Resende is a data scientist with extensive experience in leveraging advanced analytics and machine learning techniques across various industries. Currently employed at Andela since October 2023, Elaine has previously held data science positions at Brasil Paralelo, XP Inc., Inter, and Sympla, where significant contributions included predictive modeling with natural language processing, customer segmentation, and developing analytics workflows that improved operational efficiency. Additionally, Elaine has a strong academic background, achieving a Master of Science in Computer Science from Universidade Federal de Minas Gerais and serving as a professor in Artificial Intelligence and Machine Learning programs. Elaine's expertise encompasses text analysis, customer behavior insights, and the development of recommendation systems, making notable impacts on customer-centric initiatives and data-driven strategies.