Amanda Paura is an accomplished data professional with extensive experience in data analysis, engineering, and science across various organizations. Currently serving as a Senior Data Analyst at Vale, Amanda has developed expertise in fraud detection, machine learning, and predictive modeling, with significant contributions made at companies such as Globo and ClearSale. Previous roles include Data Engineer at Caiena, where Amanda designed a fraud detection solution using Neo4j, and Daten Science Intern at Zoox Smart Data, focusing on cloud technologies and analytical algorithms. Amanda's educational background includes an Associate's degree in Security Analytics from TREBAS and ongoing studies in Financial Mathematics at Ibmec, along with a degree in Mathematics from Universidade Federal Rural do Rio de Janeiro.
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