I hold a double degree in Computer Engineering and Statistics from the University of Valladolid. My profile combines advanced skills in data analysis, data engineering, data visualisation and machine learning, together with experience in industrial environments and large-scale analytical platforms.
I have a C2 level in English and a B2 level in French, with professional and academic experience in French-speaking environments.
My final degree projects focused on two advanced areas:
(1) a comparative study of variable selection techniques and model explainability using SHAP and LIME, applied to a set of predictive models based on data from a large-scale industrial process.
(2) the comprehensive development of a Google Play data ontology, modelled entirely in RDF and designed to analyse the semantic structure of permissions, categories and sensitive information in mobile applications.
I began my professional career at Thirdera (a Cognizant company), where I worked with ServiceNow, specialising in Governance, Risk and Compliance (GRC) modules and the functional configuration of processes related to risk management and regulatory compliance.
Subsequently, I completed a six-month internship at Renault Group in France as a Data Analyst and Data Engineer, participating in projects involving analytics applied to industrial processes. There, I worked with BigQuery SQL and Looker to model semantic layers and develop custom visualisations in Looker.
I currently work at Renault Group in France as a Manufacturing Data Analyst, where I design, maintain, and deploy advanced analytical solutions within the group’s industrial ecosystem. My work includes developing semantic layer models and building highly specialised visualisations for the industrial context using LookML, JavaScript, and HTML.