Summary
Vinicio De Sola is a Staff Data Scientist in New York with a decade of experience applying machine learning and financial engineering to production problems, currently focused on automating models at scale. He blends academic teaching at UC Berkeley with hands-on industry roles across finance and proptech, previously building risk and CCAR models at MUFG and leading AI efforts at Newmark. A former entrepreneur in Venezuela, he launched businesses across e-learning, e-commerce, and engineering, which informs his pragmatic product-first approach to ML solutions. His research interests include cryptocurrencies, smart beta factors, and large-scale NLP, pairing quantitative rigor from an MFE and MIDS with real-world deployment experience. Colleagues know him for translating complex financial models into maintainable, automated pipelines that deliver measurable business impact.
10 years of coding experience
16 years of employment as a software developer
Production Engineer Industrial Engineering, Production Engineer Industrial Engineering at Universidad Sim贸n Bol铆var
Master of Information and Data Science Data Science, Master of Information and Data Science Data Science at UC Berkeley School of Information
Joint Degree - Accounting and MBA Accounting and Business/Management, Joint Degree - Accounting and MBA Accounting and Business/Management at Gies College of Business - University of Illinois Urbana-Champaign
Master of Financial Engineering Financial Engineering, Master of Financial Engineering Financial Engineering at University of California, Berkeley, Haas School of Business
Spanish, English