I’m a highly motivated data scientist with a strong analytical mindset and solid mathematical foundations. I enjoy applying artificial intelligence to drive decision-making and solve operational and strategic challenges across private, public, and international organizations, including the insurance and banking sectors. I excel in data mining, NLP, ML, and advanced data visualization, and I am actively expanding my expertise in retrieval-augmented generation (RAG) and AI agents using model context protocols. I am committed to robust engineering practices and continuous professional development.
I have led and contributed to data science projects in banks, NGOs, and government agencies, delivering end-to-end solutions from conception to deployment. My experience spans building predictive models, automating statistical production with web apps, and collaborating with cross-functional teams to improve humanitarian responses and public-sector data initiatives. I am proficient with LLMs, AI agents, and modern data tooling, and I enjoy turning complex data into actionable insights for strategic decision-making.
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