Data Analyst with five years of professional experience, including four years concentrated on data analysis within Communication, Logistics, and Administration sectors, as well as direct involvement with security for the terrestrial segment of the Brazilian Armed Forces. Expertise in identifying insights to drive business decisions and proficient in data manipulation using Python libraries such as Seaborn, Pandas, Numpy, Matplotlib, and Streamlit. Adept in database management, ensuring data integrity and facilitating the extraction of meaningful information.Capabilities include statistical analysis and data modeling to identify patterns, trends, and opportunities for business process improvement. Experienced in building, evaluating, and implementing machine learning models using Scikit-Learn and TensorFlow, focusing on prediction, classification, and process optimization.Expertise follows the CRISP-DM methodology, adheres to LGPD norms, and utilizes Git for project versioning. Proficient in Linux and Big Data environments. Advanced practical knowledge of the Microsoft Office suite, with four years of experience in Excel and Access, and familiarity with tools such as Power BI, SQL, and Spark for dataset management.
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