I serve as an educator, teaching courses in Computer Programming, Algorithms, Software Design, and Embedded Systems.

- Focus on intelligent public transportation systems.- Utilizing dynamic graph representations and neural networks.- Aiming to enhance transportation efficiency.- Integrating cutting-edge techniques in graph theory and machine learning.- Optimizing transportation operations.- Improving passenger experience.- Processing large volumes of data using Apache Spark.- Analyzing data with Pandas, Scikit-Learn and Jupyter Lab.- Creating neural network models with PyTorch.

- Data Warehouse Construction: Building robust data warehouses for data storage and analysis.- Data Modeling: Mastery of multidimensional modeling (facts and dimensions) to optimize data analysis.- ETL (Extract, Transform, Load): Creating and monitoring ETL routines in SQL Server Integration Services (SSIS) to integrate and prepare data for the data warehouse.- Datamart Creation: Developing specific datamarts for data scientist analyses, churn studies, and other on-demand needs.- Power BI/DAX Dashboards: Creating dashboards for commercial areas and strategic planning, including KPI tracking.- Data Management for Campaigns: Building Power BI/DAX dashboards to monitor PUCPR and TECPUC recruitment campaigns.- Churn Risk Management: Maintaining the prediction model for the risk of university student churn at PUCPR.- Higher Education Census (CENSUP): Creating data extraction routines from CENSUP 2016 and 2017 and generating dashboards for monitoring.- Workload Management System: Creating a faculty workload management system using the Workload Adjustment Agreement (TACH).

- Conducted research on the influence of Higher Education Institutions (HEIs) on startup ecosystems in Brazil.- Performed data analysis using computational methods and social network analysis.- Utilized social media databases like Crunchbase and LinkedIn to gather data.- Co-authored academic publications.- Collaborated on research projects with Stanford University and IBM Research.- Presented findings at academic conferences.- Analyzed data using Pandas, Scikit-Learn and Jupyter Lab.- Created Python scripts to automate web data collection.

- Mathematical modeling of the accounting process.- Modeling information systems using UML.- Implementation and testing of system validation.- Requirements gathering and object modeling using UML.- Programming in Java SE 6, Spring, Hibernate, and MySQL.- Programming in MS VB.NET and SQL Server.- Mathematical modeling (equation-based) of the accounting process.- Generating accounting slips, management reports, and importing accounting reports in various formats.- Developing user manuals.- Client validation testing.- Providing system user support in a production environment.- Process improvement through the development of IT tools.- Developing macros in MS Excel (VBA).- Following up on backlogs in the client area.- Mandatory and non-mandatory validations.- Test case specification (using HP Quality Center).- Guiding users to gather test evidences.

- Airborne Video Surveillance System (AVISS): This system uses cameras mounted on aircraft or drones to monitor areas from the air.- Mobile/Embedded Management System (MEMS): This system manages and controls devices that are mobile or embedded in other systems.- Telemedicine (TELEMED): This systems uses technology to deliver healthcare services remotely.- Registered with the Council of Engineering and Agronomy of Paraná (CREA PR), number 127333/D.