Projects in State Revenue - State Secretary of Rio Grande do Sul (RE - SEFAZ/RS):i. Project 265 - Data-driven revenue (ROD) - Classification of Debtors - Company compliance timelines. Compliance forecast models about taxpayer information;ii. Project 021 - Total refactoring of a R project about Compliance Tributary Classification, made by 3rds, to Python with Dagster Orchestration. We got an optimized task workflow with the distributed process made by Dagster.

QlikView and Qlik Sense for data engineering and BI projects in Porto Alegre City Hall (PMPA) and State Audit Court - RS (TCE).

Data science projects in Information Technology Division (DTIF - RE - SEFAZ/RS):i. Project 257 – Pre and post-registration models for predicting companies frauds;ii. Project 303 – Forecast models to evaluate taxpayer declarations ICMS rate, anti-poverty fund rate and reduction of the calculation base, according to Common Mercosur Nomenclature (NCM);iii. Project 265 – Compliance forecast models according to taxpayer information.

Main gain:The market medicine prices, based on eletronic invoice data, showed overpricing over than 45%. All the results have a rigid statistical base. Only in 2016, with medicines, the state of RS paid more than R$ 250 milion above the market value. These values ​have been growing over the years. Some results were published in some journals, as you can see here, in Correio do Povo: and . The measure of market medicine price, called PRM by us (Reference Price of the Medicine) began to be adopted in may/2022 and allowed an increase in the value of medical fees in nov/2023, bringing more doctors to the plan, without increasing the values for patients, as you can see here: , and Highlighted projects in State Treasury (TES - SEFAZ/RS):i. Projects in Statistical Analysis and Data Mining System (SAEDM), developing analytics, mainly according to hospital costs (medications, diets, orthoses and prosthetics) and behavior of healthcare providers affiliated with Institute of Health Assistance for Public Servants of Rio Grande do Sul (IPERGS); ii. Methodology for calculating the reference price of medicines, diets, orthoses, prosthetics and special materials (PRM, PRD and PRTOPME), using data from Electronic Invoice to parameters generation, in addition to the survey of overpricing, considering representativeness metrics.

Data analysis project regarding post-vaccination adverse events occurring in Brazil reported between 2005 and 2010 in all brazilian territory. As a consequence, the results were presented in three scientific initiation salons (2012, 2013 and 2014).The target audience for the study was children aged 0 to 10 years who received any of the vaccines included in the mandatory childhood calendar in 2008. In addition to descriptive analyses, inference techniques were applied to compare age (Kruskal-Wallis & Dunn tests), event x vaccine association (chi-square and adjusted residuals) and chance of hospitalization (logistic regression).