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I am a data scientist with a four-year experience in the education sector, where I apply advanced optimization and modeling methods to solve complex challenges in the assessment and learning of mathematics. My background in statistics and a master's degree in mathematical engineering have provided me with a solid theoretical and practical foundation in quantitative analysis, database management, and the use of tools such as R, Python, SAS, PostgreSQL, MySQL, and Matlab. I have participated in research and development projects where I have used statistical modeling and psychometric techniques, item response theory, sample analysis, scale equating, and data visualization. My professional goal is to contribute to the advancement of knowledge and the improvement of the quality of education through the use of data science. Experience in using collaborative developing tools such as Git, Confluence, Jira.
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