Camila D'Angelo Tempesta is a data analyst and data scientist with extensive experience in data science projects utilizing Python and R languages, including predictive modeling and exploratory data analysis. Current roles include data analyst at Comunidade de Estatística e Ciências de Dados and data scientist at Data Science Academy. Previous positions encompass business intelligence analyst at ANJE, researcher at Universidade do Porto, and project engineer at SIGAMOS!. Camila holds degrees in Industrial Engineering, Economics, and a postgraduate degree in Engineering/Industrial Management, complemented by ongoing language studies in English and French. Significant expertise in data analysis, machine learning, and automation using tools like Power BI, SQL, and Apache Spark is evident throughout Camila's career.
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