Nicolas Scozzaro is a data scientist-turned-real-estate developer with nine years of machine learning and research experience, blending a physics PhD background with hands-on product work in fraud detection and risk modelling at Uber and American Express. He’s skilled in Python, Spark/Hive, deep learning (Keras/TensorFlow, LSTM) and computer vision, having shipped face- and document-fraud tools and production ML systems that improved compliance and monitoring. More recently he’s focused on owner-builder real estate development in Santa Barbara and Goleta, designing CAD-modeled floor plans and permitting multiple ADUs to scale a planned 10-property portfolio. Comfortable moving between lab-grade experimental methods and production ML, he also brings a knack for spotting non-obvious signals in complex data—demonstrated by NLP and anomaly-detection work on customer channels. Based in Palo Alto, he balances analytical rigor with practical construction and design skills, making him effective at turning technical insights into physical assets.
9 years of coding experience
15 years of employment as a software developer
Bachelor of Arts (B.A.) Physics, Bachelor of Arts (B.A.) Physics at University of California, Berkeley
Santa Barbara High School
Data Science, Data Science at The Data Incubator
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at The Ohio State University
Contributions:383 commits, 162 PRs, 176 pushes in 3 years 2 months
physicsdjangoeducational-gameforumreactjs
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