Ryan Inghilterra is a Senior Data Scientist II with 11 years of experience applying ML, geospatial analytics, and large-scale data engineering to commercial and network optimization problems. Based in Carlsbad, CA, he has led ML/AI initiatives at CrowdStrike and previously built global demand models and network planning optimizers at Viasat that uncovered millions of new market targets and boosted opportunity estimates by ~18%. He combines practical software engineering roots (Java, full-stack web) with advanced data science (PySpark, linear programming, time-series, unsupervised learning) to productionize models and automation that save hundreds of manual hours. Trained at UC San Diego and with AI coursework from Stanford, he’s equally comfortable mentoring students and shipping enterprise-grade APIs and simulation tools. An under-the-radar strength is his ability to translate complex geo-temporal signals into actionable business decisions, turning large, noisy datasets into measurable revenue and operational impact.
11 years of coding experience
12 years of employment as a software developer
University of California, San Diego
Graduate Professional Program Artificial Intelligence, Graduate Professional Program Artificial Intelligence at Stanford University
Visualizing dessert flavor pairings in Python with interactive chord Plot
Contributions:34 commits, 1 PR, 31 pushes in 7 days
dessertpythonplotchordvisualizing
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