Before joining the Master, I collaborated with some of the professors in the research of Digital Twins, from their theory and functioning, covering possible technologies to implement them to the main objective, which was the security problems they introduce, mainly in the Industry 4.0 paradigm, as well as techniques to mitigate them.

As a Data Engineer Intern at Accenture as part of the curricular practices of the Software Engineering degree, I participated in a project in direct contact with the client, where my main objective was to develop a verification system that analyses a set of data files (CSVs, XMLs, etc.) and checks that they are consistent with each other and meet a series of requirements, so that if they do, they are used by a proprietary program of the client or, failing that, the user is informed of the problems of the dataset.To do this, we mainly use Python and the typical set of libraries for data processing (Pandas, Numpy, etc.) and AWS cloud services, specifically Amazon Lambda for the deployment of verification functions and S3 for file storage.After the internship I was offered to join the company but my intention was to continue my training with a Master's degree to specialise in Engineering and Data Science.