I completed a program that provided me with a solid foundation in computer science and applied mathematics, including linear algebra, calculus, statistics, and algorithms. During the program, I developed skills in matrix operations, solving complex equations, and applying advanced algorithms, strengthening my logical thinking and ability to solve engineering and data science problems. I participated in practical projects that solidified my understanding of theoretical concepts and their application in real-world contexts.

I gained extensive experience in object-oriented programming, operating systems, computer networks, and relational and non-relational database management. I mastered the Java language, including concurrent and multithreaded programming, and implemented robust distributed applications with a focus on performance, scalability, and maintainability. I learned to apply best software development practices, including automated testing, version control, and detailed technical documentation.

I specialized in data analysis, information mining, and distributed systems, creating predictive models with Machine Learning and interactive data visualizations to facilitate strategic decision-making. I worked with large real-world data sets, applying classification, regression, and optimization algorithms to solve real-world problems. I developed dashboards and reports that integrated insights from different data sources, promoting in-depth analysis and effective communication of results.

I designed and implemented advanced cloud architectures using modern platforms and orchestration tools to develop secure and scalable business solutions. I applied information security measures, using incident detection, prevention, and response tools, as well as ensuring compliance with legal and regulatory standards. I participated in projects that integrated different corporate systems, ensuring interoperability, performance, and the protection of sensitive data.

As part of the Master's dissertation in Information Systems Engineering and Management, I developed a module in Microsoft Dynamics 365 Business Central with the goal of calculating the carbon footprint associated with products. The work arose from the growing need for companies to evaluate and report the environmental impact of their operations, in line with international best sustainability practices.

The project was supported by recognized methodologies, such as the GHG Protocol and Life Cycle Assessment (LCA), which ensured consistency and scientific rigor in the calculations. Based on these foundations, I defined the functional and technical requirements necessary for the system to be modular, generic, and adaptable to different industrial contexts, minimizing changes whenever it was applied in new organizations.

The implementation was carried out in AL language, leveraging tables, pages, and ERP flows to create an integrated and practical solution. The developed functionalities include the calculation of direct and indirect emissions associated with the production process, as well as the possibility of obtaining estimates of expected emissions and actual values based on the data effectively recorded in the system. To validate the solution, practical examples of products and production lines were used, allowing the applicability of the module in real-world scenarios to be proven.

Additionally, I prepared detailed documentation and a user manual intended for end-users, ensuring a faster and more efficient adoption of the tool. Beyond the technical development, this work contributed to reinforcing business awareness of sustainability and environmental impact, showing how it is possible to combine management technology with environmental responsibility practices.

The dissertation was presented in 2022 as part of the Master's in Information Systems Engineering and Management at the University of Minho, consolidating technical skills in software development, information systems integration, and the application of environmental methodologies in a business context.