Fernando Romero is a Data Scientist at Practia Global since April 2023, specializing in predictive modeling, development of indicators, and client-focused projects aimed at churn prediction. Previously, Fernando served as a Data Science Intern where participation included document classification, apparel detection, and video summarization, along with conducting Git training sessions. Prior to this role, Fernando worked at Uqbar Project as a Typescript Developer, migrating legacy Java code and refactoring existing code. Fernando is pursuing a Bachelor's degree in Informática at Universidad Nacional de Quilmes and holds a secondary level technical degree in Informática from EET n4.
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