Main Projects:-Automatic Detection of Atmospheric Discharges: This project involves the treatment and analysis of extensive and robust data, being a Research and Development (R&D) project.Main Activities:-Descriptive and Inferential Analyses: Performing statistical analyses to understand the data and make inferences from them. -Computational Intelligence Modeling: Development and implementation of machine learning and computational intelligence models based on… Show more Main Projects:-Automatic Detection of Atmospheric Discharges: This project involves the treatment and analysis of extensive and robust data, being a Research and Development (R&D) project.Main Activities:-Descriptive and Inferential Analyses: Performing statistical analyses to understand the data and make inferences from them. -Computational Intelligence Modeling: Development and implementation of machine learning and computational intelligence models based on statistical findings. -Data Treatment and Feature Engineering: Cleaning, preparing, and transforming raw data to improve the effectiveness of machine learning models. -Report Writing: Creation of detailed reports to document the results of analyses and modeling.About:-EMBRAPII Certification: Has EMBRAPII certification, which attests to competence in innovation and technological development. Show less

During my period as a student at DNC, together with the company Gestão em Dados, a company specialized in data services outsourcing, I had the opportunity to work on a significant practical project. This project involved the development of a predictive model for our business partners, with the aim of predicting the revenue generated by a customer based on their metrics.I used the CRISP-DM methodology and the Python language to carry out a series of critical tasks. These included data… Show more During my period as a student at DNC, together with the company Gestão em Dados, a company specialized in data services outsourcing, I had the opportunity to work on a significant practical project. This project involved the development of a predictive model for our business partners, with the aim of predicting the revenue generated by a customer based on their metrics.I used the CRISP-DM methodology and the Python language to carry out a series of critical tasks. These included data cleaning, detailed analysis, efficient organization, and finally, the development of the predictive model. The work’s main objective was the optimization of the company’s administrative processes.This practical experience at DNC provided me with a deep understanding of the field and equipped me with the necessary skills to thrive in my Data studies. Show less