Pierre Dal Bianco is a Spatial Hydrologist and data scientist with eight years of experience building geospatial and ML-driven solutions for water sustainability and post-sales program management. He designs and automates geospatial workflows in Python (GeoPandas, Rasterio, Xarray), manages large raster/vector datasets across California for SGMA compliance, and applies machine learning to land cover, vegetation analysis, and hydrologic modeling. Comfortable bridging technical teams and clients, he has led international data projects, built full-stack dashboards (Django/Flask, PostgreSQL, Leaflet) and deployed early-warning AI systems for humanitarian and investor reporting. Trained at Arts et Métiers and Télécom Paris in engineering and big data, he blends rigorous engineering discipline with field-collected data experience from projects in West Africa to California. An unexpected strength is his fluency moving between hands-on coding, project finance scales (10k–1.5M€), and operationalizing research into production-grade geospatial products.
8 years of coding experience
Mastère Spécialisé, Big Data, Mastère Spécialisé, Big Data at Télécom Paris
Lycée Joffre MPSI-MP*
Baccalauréat série Scientifique mention Bien et Européenne, Baccalauréat série Scientifique mention Bien et Européenne at Lycée Gustave Jaume
Master, ENGINEERING, Master, ENGINEERING at Arts et Métiers - École Nationale Supérieure d'Arts et Métiers
Contributions:2 pushes, 1 branch in 1 year 1 month
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