• Developed a GIS ecosystem using PostGIS and Azure Cosmos DB as databases making the interaction with consuming apps work based on Azure Functions hosting a API developed in Python using FastAPI that manage to allow interoperability between all the Digital Twins consuming apps.• Worked with GPU acceleration APIs, using TensorFlow to perform massive spatial points processing from point clouds based on matrix multiplication for coordinate conversion, hitting a millimeter precision and achieving 200k points per second based on entry level GPU nodes• Set up infrastructure for Enterprise level software using Terraform to allow a trustable delivery that can be replicated and automated• Structured Azure Data Lakes to process CSV, LAS, WKT, CZML and other data from consuming apps structuring pipelines using Azure Data Factory, Azure Fabric and Azure Functions to process raw spatial data into our Spatial Databases• Develop Flask applications to collect and monitor data from vendors and delivery data to our data warehouse in Azure SQL Database to make Power BI dashboards that help business team on decision makingWith a focus on leveraging cutting-edge technology to drive efficiency and innovation, I am dedicated to delivering high-quality data solutions that support critical decision-making in the Oil and Gas sector.

• Implemented data extraction and cleansing with APIs, web scraping, Pandas, and Apache Spark; developed and maintained data warehouses using PostgreSQL and Snowflake, optimizing queries for a 40% faster processing time.• Development of Data Analysis and Interactive Dashboards: Created data analyses and interactive dashboards using Power BI, Dash, and Plotly, which provided strategic insights for political campaigns. The visualizations enabled stakeholders to better understand the political and social landscape, facilitating strategic decision-making.• Innovations in Geospatial Visualizations: Implemented geocoding techniques and developed geospatial visualizations that enabled advanced analyses of policy impacts across different regions. These visualizations helped identify critical geographic trends that influence public policies.• Predictive Modeling: Developed predictive models using machine learning (scikit-learn) and deep learning (TensorFlow and PyTorch) to forecast electoral scenarios. These models helped guide campaign strategies, resulting in a more targeted and effective campaign.

• Integration Tool Development: Created and implemented an integration tool using SQL, Node.js, Python, and the XANO platform, which drastically reduced the execution time for integration demands from 3-6 months to just 1-2 weeks. This advancement allowed for a quicker response to client needs and increased the operational agility of the company.

• Client Churn Risk Management: Identified and addressed the client with the highest risk of churn, reducing the number of accumulated tickets from about 200 to fewer than 30, reestablishing the service level to that of a healthy client. This intervention not only stabilized a crucial client-company relationship but also enhanced the company's reputation for problem resolution effectiveness.• Data Integration Innovation: Designed and implemented a functionality that integrates large-dimension CSVs with municipal forms using AWS, Python, SQL, and MongoDB, facilitating the automatic feeding of BIs and forms with data provided by clients. This solution reduced technical tickets by 5%, eliminated related bugs, and significantly increased client satisfaction, opening opportunities for cross-selling and up-selling.• Technical Leadership and Training: Led KeepOnTrack orientation sessions and developed training for the team focused on CSS, JavaScript, SQL, and MongoDB, enhancing the technical competences of the team and improving the integration of technologies in our processes.

As a Civil Engineer, I primarily focused on construction management and planning services, where, coupled with strategic planning, my main goal was to bring efficiency and cost savings to the projects.

• Material Logistics Management: Managed materials logistics using Excel, reducing delays and maintaining efficient project timelines.• Optimal Resource Allocation: Applied measurement and balance techniques for optimal labor and material allocation, boosting productivity and reducing costs.• Construction Budgeting and Scheduling: Developed accurate budgets and schedules for construction projects, ensuring financial viability and timely completion.

Analysis of data from shear strength tests of self-compacting concrete through push-off tests. Validation of the influence of the modification of the average diameter of the crushed stone in relation to the propagation of cracks.

Scientific Initiation Program of the Brazilian Mathematics Olympiad for Public Schools 2010.I received a Junior Scientific Initiation scholarship from the National Council for Scientific and Technological Development - CNPq.