Felipe Teixeira
About Felipe Teixeira
Felipe Teixeira is a data scientist with expertise in various data analysis tools, including SAS, Python, and Tableau. He currently works at CVC CORP, focusing on generating Key Performance Indicators and has a background in statistical analysis and strategic decision-making.
Current Role at CVC CORP
Felipe Teixeira currently serves as a Cientista de Dados at CVC CORP, a position he has held since 2021. In this role, he is involved in internal projects that focus on generating Key Performance Indicators (KPIs). His work contributes to the company's data-driven decision-making processes, enhancing operational efficiency and strategic planning.
Previous Experience in Data Science
Prior to his current position, Felipe worked at Icatu Seguros as a Cientista de Dados from 2019 to 2021. He also held the role of Consultor Pleno at TIM Brasil for one year, from 2016 to 2017. Additionally, he worked as an Analista Pleno at SulAmérica from 2017 to 2019, and as a Consultor Estatístico Júnior at Analysis Modelagem e Mineração de Dados from 2014 to 2016. These roles provided him with extensive experience in data analysis and statistical reporting.
Education and Expertise in Statistics
Felipe Teixeira studied at the Escola Nacional de Ciências Estatísticas (ENCE), where he earned a Bacharel em Estatística from 2009 to 2013. His educational background has equipped him with a strong foundation in statistical analysis, which he applies in his professional roles. He possesses expertise in various data analysis tools, including SAS Enterprise Guide, SAS Enterprise Miner, Databricks, Python, R, VBA, Tableau, and Power BI.
Skills and Professional Development
Felipe maintains a proactive approach to learning and professional development. He actively seeks knowledge in the field of data science and possesses excellent interpersonal skills, which enhance his ability to collaborate effectively with colleagues and stakeholders. His specialization in strategic decision-making through customer profile analysis supports his contributions to data-driven projects.