Integrating Data Science, Social Research, and Policy Analysis for real-world impact.
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Multidisciplinary professional with a background in social sciences, policy, and data analysis. Passionate about bridging research, technology, and real-world impact through innovative, inclusive, and sustainable approaches.
Built interactive Shiny dashboards and visualizations for intra-EU bilateral asymmetries (ITSS/FDI/FATS); created reproducible pipelines with the Eurostat API; and drafted concise dissemination notes so methods and caveats are clear to non-technical audiences.
Supported cultural and scientific programmes, managed content on Spainculture.be, liaised with EU institutions, and ensured inclusivity and sustainability in science diplomacy.
Ensured data integrity through QA processes, collaborated on analysis reports, and improved internal data validation tools.
Assisted with policy evaluations and frameworks, presented research insights, and provided technical tools for public sector policy design.
Translated documents, ensured regulatory compliance, and identified business opportunities.
Managed Erasmus data, curated EU academic materials, and supported intercultural initiatives.
Focus: Web scraping, text mining, ML, data visualisation. Thesis: NLP on UK Parliament debates.
Master's thesis applying NLP to UK House of Commons debates (2013–2019): sentiment analysis, topic modelling, and hate speech detection.
GitHub Repo | PDFCreated a public calendar of Spanish science events in Belgium for the Embassy of Spain.
GitHub | Published WebsiteExplored Twitter networks and political diffusion using igraph and Gephi.
GitHub RepoScraped Forvenues site and deployed a Shiny dashboard for personalised nightlife recommendations.
GitHub RepoApplied NLP sentiment tools to analyse emotional arcs across Harry Potter novels.
GitHub Repo
Article and dataviz exploring regional dynamics of the 2016 UK EU referendum, with maps and small multiples.
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