An analytical, studious, and data-driven professional with over four years of experience in promoting data solutions. I specialize in data warehousing modeling, ETL processes, and machine learning models. Throughout my career, I have successfully implemented ETL processes for educational institutes, improved internal processes, and migrated and modeled different ERPs. I have also developed analytical queries in SQL and led data projects, including the development of a machine learning model to predict radiotherapy and increase operational efficiency. Additionally, I have led a hospital cost analysis project, resulting in better financial use and reduced waste of materials. My expertise lies in ensuring the integrity and quality of data for analysis.
I hold a postgraduate degree in Data Science and Machine Learning from PUCPR and a technologist degree in Systems Analysis and Development from UDESC. I am proficient in Python for data analysis, data science, and task automation. I am also skilled in Microsoft Azure, Azure Data Studio, Amazon AWS, SageMaker, and SQL databases.
