Develop data science software with high-quality code, aiming to maximize the usefulness and reuse of resources, in addition to organizing and distributing the product according to community standards, providing an optimized experience for the Brazilian Institute of Geography and Statistics (IBGE) customer.Responsibilities- Develop and maintain R packages responsible for extracting, processing, loading and performing statistical analyses in the various databases of the Brazilian Institute of Geography and Statistics (IBGE);- Develop and maintain ETL pipelines and optimize statistical analysis pipelines. I reduced execution time by 70% and improved memory consumption, ensuring efficient data processing;- Compare results of statistical analyses obtained with the developed package with results obtained by IBGE analysts. I resolved differences found by collaborating with IBGE analysts, identifying patterns and anomalies in the results, discussing solutions and adjustments to ensure the accuracy of the analyses;- Develop new endpoints and maintain the API responsible for providing data and statistical analysis according to the selected database, applied filters and geographic openings;- Create new variables using existing variables to be used in analysis. Example NEM-NEM (group of young people between 18 and 24 years old and neither studying nor working);- Write good documentation and vignettes, apply continuous integration tools and create unit tests;- Participate in data management, perform maintenance, generate queries and create tables in SQL database;Achievements- Suggest and optimize the pipeline that performs various statistical calculations for different databases, with different filters and geographic openings. As a result, I reduced the execution time of the statistical inference calculation pipeline by 70% and stabilized memory consumption.

I worked in all ML model creation cycle stages, performing data engineering, data science, and ML engineering tasks. Responsibilities that require skills in statistics, programming, ML algorithms, and software engineering practices and a clear understanding of business needs.Responsibilities- Collaborate with stakeholders to understand objectives and translate business requirements into ML solutions- Define success metrics and evaluation criteria to ensure that models meet business requirements- Identify, collect, and integrate relevant data sources, ensuring data quality, consistency, and security- Perform data cleaning, transformation, and enrichment activities using ETL pipelines- Perform exploratory data analysis, seeking to identify patterns, correlations, outliers, and variables relevant to the model- Generate insights from data to assist in defining hypotheses and modeling decisions- Feature engineering. Extract, select, and create relevant predictive variables (features)- Select and train ML models suitable for the problem, comparing different approaches- Deploy models, developing APIs or services that allow integration with production systems- Monitor model performance and identify deviations or reduced performance (data drift or concept drift)Achievements- Analyzed the behavior of scammers, identifying differences between normal users and implementing new features in the model, improving performance and ensuring security on the platform- Developed an NLP classification model that significantly reduced support demand and response time from 24 hours to minutes- Developed a Web Crawler to search for keyword ranking data to support the marketing team, increasing analysis efficiency, reducing errors, and contributing to improving SEO rankings

Responsibilities- Develop B2B applications for Android and iOS in Xamarin.Forms (C#);- Implement business rules;- Implement new features;- Implement new application flows;- Provide maintenance and perform bug fixes;

Responsibilities- Support in managing the Oracle database- Internal helpdesk- Bug fixing- Validation of new features with users.- Support in the ERP migration, working on migrating scripts and business logic.- Create dashboards and generate reports with Microsoft Power BI.