Summary
Flaviene De Cristo is a Data Scientist and PhD-trained researcher with a decade of experience bridging academic research and industry delivery in distributed databases, blockchain (XRPL), and computer architecture. Currently at ArcelorMittal Europe, she develops dynamic pricing models, data pipelines, APIs and infrastructure monitoring to turn complex steel-market data into actionable business decisions. Her doctoral work produced tools and published results on distributed systems for the XRPL, combining C++, Go, Python and causal/data-analysis toolkits like DoWhy and InfluxDB. She has hands-on experience migrating and architecting data warehouses (MongoDB → IBM BLU) and operationalizing ML in production, a background that lets her move seamlessly between low-level systems and business-facing analytics. Based in Luxembourg, she brings a researcher’s rigor to pragmatic engineering and is comfortable owning both technical documentation and cross-ecosystem integrations.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Luxembourg
Ensino Médio High School, Ensino Médio High School at Colégio Militar de Brasília
MS Comnputer Science, MS Comnputer Science at Universidade Federal do Paraná
English, Portuguese, French, Italian, Spanish, Luxembourgish