Acerca de Andrea
Data Scientist 📊🧑🏻🔬 with a PhD in Mathematics 🎓🧮🇸🇪 and 3+ years of experience across data science, analytics, and data engineering. I design and deploy scalable data pipelines and cloud-native analytics solutions that turn complex data into actionable insight.
At Open Cosmos 🛰️🇪🇸 I’ve built geospatial data workflows on Google Cloud to support environmental and air-quality monitoring, while at Prima Assicurazioni 🚗🇮🇹 I developed ML and NLP-driven models improving risk prediction and fraud detection efficiency.
My research background 🔬 trained me to tackle problems analytically and think systemically, skills I now apply to real-world data challenges.
I’m passionate about leveraging AI✨ and automation🤖 to make data products smarter, faster, and more reliable.
Italiano
Bilingüe o nativo
Sueco
Nociones
Inglés
Competencia profesional completa
Español
Nociones
Acepta trabajo presencial
Barcelona (hasta 50 km)
Experiencia
- Seen Labs
En Malt
Technical Interview Consultant (Data Science)AGENCIAS DE SUBCONTRATACIÓNabril de 2026 - abril de 2026- Collaborated with the hiring team to refine a technical assessment for a Junior Data Scientist role in a synthetic healthcare data project.- Contributed to structuring a take-home assignment and interview process focused on longitudinal data modeling, simulation logic, and Python implementation, and helped define clear evaluation criteria. - Open CosmosData ScientistAERONÁUTICA & AEROESPACIALagosto de 2023 - febrero de 2025 (1 año y 6 meses)Barcelona, Spain• Developed scalable geospatial data pipelines and analytical frameworks for air-quality monitoring utilizing IoT sensors, enabling precise environmental insights.• Led R&D initiatives for geospatial data solutions, from prototyping to deployment in cloud infrastructure (Google Cloud Platform, Kubernetes, Argo Workflows).
- Prima AssicurazioniData ScientistBANCA & SEGUROSoctubre de 2022 - agosto de 2023 (10 meses)Milan, Metropolitan City of Milan, ItalyWorking for the Spanish pricing department under the Global Data Science team.• Developed and maintained pricing models and data pipelines using Databricks, PySpark, and SQL.• Built geographical Tableau dashboards visualizing portfolio performance and market trends across regions.• Collaborated with cross-functional teams to improve data quality, scalability, and reporting consistency across business units.
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Formación
- Machine Learning Python Data Science Toolbox (PartMachine Learning Python Data Science Toolbox (Part
- Python Data Science Toolbox (Part2) Supervised Learning with scikit-learn Joining Data in SQLPython Data Science Toolbox (Part2) Supervised Learning with scikit-learn Joining Data in SQL