Quantitative Analyst at ALM, Treasury & Funding Department. Learning about:- Leveraging advanced quantitative techniques to support market analysis, risk management, and strategic decision-making in a dynamic front-office environment. - Development and maintenance of robust analytical tools using Python, Matlab, and Excel among others, to automate workflows, enhance efficiency, data visualization and rapid prototyping. i.e. Real-Time pricing APIs, counterparty risks modeling, API REST integration, GitLab management, etc.

Learning about: - Data Engineering & Management, pipelines and architectures to support robust data analysis and decision-making. Ensuring data quality and accessibility across various platforms.- Quality Assurance (QA), testing methodologies to ensure the reliability, functionality, and performance of technological solutions. Collaborating with development teams to identify and resolve issues, and learning to implement automated testing processes to enhance efficiency.- Project Management (PM), project planning, coordination, and execution. Gaining insights into agile methodologies and tools used to manage technology projects effectively within a dynamic development environment.

Developer in C# and VBA in .NET environment. Learning about:- Product Lifecycle Management (PLM) and Systems Engineering (SE), understanding the end-to-end process of managing complex systems and their lifecycles.- Semantic Interoperability & Knowledge Management: Explored and applied principles of Semantic Interoperability and Knowledge Management (KM), ensuring seamless data exchange between systems and fostering effective communication across different platforms.Final degree project: "Integration of Physical Modeling Tools into an IOT Framework."- The work focuses on improving Systems Engineering (SE) processes, stating an optimization on the interoperability between The Reuse Company software environment, Microsoft Office Tools and the ArrowHead IoT framework used for industrial automation systems.