- Monitoring and Improvement of Business Indicators.- Conducting A/B Testing.- Dashboard Creation and Enhancement.- Customized Notebooks for Different Data Analyses.- Discussion on Data Storage.

- Contribution to the development and promotion of laws regarding the homeless population.- Production of Technical Reports presenting profile data of the homeless population across all Brazilian states, including all cities and the Federal District.- Automated data extraction using web scraping from Cad Único: automation of data collection, saving time and enabling access to a wide range of data sources.- Loading and manipulation of databases: data preparation and organization for analysis.- Analysis of processed data, generating insights: creation of tables, charts, and comparisons, as well as identification of key summary measures.- Study published on G1 presenting a historical series and encouraging discussion on the topic: https://g1.globo.com/sp/sao-paulo/noticia/2023/04/05/cidade-de-sp-contabiliza-mais-de-52-mil-moradores-de-rua-alta-de-82percent-em-2023-afirma-pesquisa.ghtml

- Automation of Risk Accumulation reports using Power BI.- Allocation and control of Risks according to Reinsurers' cessions.- Audit and Validation of Reinsurance Premiums and Claims.- Transformation, loading, and validation of data in databases to enhance the reliability of information in report delivery.

- Creation of dashboards using Power BI to simplify processes and reduce the time required, turning hours into minutes;- Maintenance of automated Python scripts for data transfer to SQL, aiming to improve process efficiency and reliability;- Creation of R scripts to generate automatic reports periodically, with just one click;- Creation of SQL scripts for data manipulation, query optimization, and data utilization.

Department of Statistics of the Undergraduate Dean's Office at UFMG- Application of statistical techniques in analyses, such as the Kohonen neural network, for example;- Studies related to the impacts of changes occurring over time at the university;- Automation and optimization of periodic reports (Rmarkdown) in an agile and efficient manner, aiming for time savings;- Report on the socioeconomic profile of new students enrolled at UFMG from 2002 to 2021: https://www.ufmg.br/prograd/wp-content/uploads/2023/01/Relatorio_Socio_Economico_2021-11.pdf- Reports produced in 2022 in the Statistics Sector of PROGRAD (UFMG): https://www.ufmg.br/prograd/relatorios-2022/