Summary
Andrea Cortis is a Manager Data Scientist at KPMG's FED Digital Lighthouse with nine years of industry experience and a PhD in geophysics, blending deep academic modeling expertise from Lawrence Berkeley Lab with practical leadership in oil & gas analytics. He has led and scaled data science teams at Pioneer and Belmont, architected enterprise analytics frameworks at GE, and driven production-grade ML solutions for drilling, production, methane leak detection, and fiber-optic sensing. Comfortable at the intersection of physics and machine learning, he applies advanced methods—topological data analysis, time-series RNNs, and physics-informed models—to operational problems across upstream O&G and adjacent industries. Known for building technical communities and mentoring cross-disciplinary teams, he pairs strategic vision with hands-on modeling and deployment experience. A less obvious strength is his long-standing focus on multi-scale transport and fractal-based inversion methods, which informs novel approaches to complex subsurface and sensor data problems.
9 years of coding experience
15 years of employment as a software developer
Laurea, Hydraulic Engineering, Laurea, Hydraulic Engineering at Università degli Studi di Cagliari
DEA, Fluid Mechanics and Transport Phenomena, DEA, Fluid Mechanics and Transport Phenomena at Ecole nationale supérieure d'Arts et Métiers / ENSAM
PhD, Geophysics, PhD, Geophysics at Delft University of Technology
English, Italian, Spanish, French, sardinian