- Developing dashboards in Python to track and visualize sales/marketing performance data for global partners- Collecting, storing and analyzing social media data using APIs and media tools (SimilarWeb, Emplifi, Google Analytics). Creating and maintaining databases for internal use in data products.- Analyzing marketing data, such as campaign metrics, conversion rates and customer feedback on social networks. Identifying insights and opportunities to improve the company's marketing strategies in line with brand planning.

- Reconciliation of clinical data from pharmaceutical companies, following strict protocols and quality control methods, increasing its accuracy, consistency, and integrity, and ensuring its reliability and relevance to clinical trials- Developed and implemented open-source R tools that streamlined internal data validation and comparative reporting processes. These automated tools enabled efficient data verification and validation, as well as automated reporting- Creation of clinical databases in ADAM and SDTM standards, using R and SAS languages, involving the structuring, organizing, and standardizing of information collected in clinical studies. The adoption of these standards ensured consistency, traceability, and interoperability of data, facilitating analysis and reporting for the research and development teams.

Member of the project Syphilis No!, which seeks through the monitoring of pregnant women in prenatal care, to identify the factors that most influence the prevalence of the disease.- Use of Python, R, and SQL to manipulate and analyze open health-related data, including PMAQ, SINAM, and DATASUS, aiming to provide strategic insights for effective decision-making in syphilis prevention. Identification of relevant patterns and trends, such as geographical areas with higher incidence of the disease, demographic groups most affected, and associated risk factors.- Development of socioeconomic questionnaires following a defined sampling plan. Collection of data on socioeconomic variables such as income, education, and occupation, obtaining valuable insights into the characteristics of the group of interest. Detection of patterns, trends, and social inequalities, providing recommendations for health policies and programs aimed at the population's development.- Collecting, processing, and maintaining statistical research data, ensuring the quality and integrity of the information collected. Processing and organization of the data results, enabling accurate and reliable statistical analysis

- Use of Power BI for analysis and monitoring of fuel consumption of the vehicle fleet of the state of Rio Grande do Norte. Through the creation of interactive dashboards and customized reports, I provided insights into consumption patterns, identifying opportunities for optimization and contractual cost reduction.- Creation and implementation of new tools in R and Excel that provided significant agility to internal data validation and reporting processes, decreasing waiting time by 60% and facilitating communication between strategic sectors.- Responsible for participating in the statistical census of the Secretariat of Administration's public servants, playing a role in the collection, analysis, and interpretation of data, outlining a detailed profile of the agency's workforce, and identifying competencies, areas of expertise, and specific development needs. Based on this information, I was able to collaborate in the formulation and implementation of projects and initiatives more aligned with the demands and strategic goals of the Secretariat for Administration.

Statistical data analysis services. Assistance to students and teachers in developing research projects and preparing monographs, dissertations, and theses for various undergraduate and graduate courses at UFRN and other institutions in the country.

Organização de minicursos (probabilidade, métodos estatísticos, amostragem etc.). Desenvolvimento de projetos para exposição em congressos. Organização de eventos à nível estadual e nacional. Participação em projetos de pesquisa.