Leticia Ruiz is a Senior Data Scientist based in Puerto Rico with 13+ years in AI, data and analytics and a broad foundation spanning finance, product operations and legal practice. She has driven analytics and AI initiatives across financial services and healthcare—most recently leading AI efforts at INVID before joining Hewlett Packard Enterprise—bringing domain fluency in payments, provider financials and corporate finance. Leticia blends technical training (NYU Stern MS in Quantitative Management and Columbia Engineering applied ML coursework) with legal experience from UPR Law School, giving her a rare ability to navigate data, compliance and IP considerations in product development. Known for translating complex financial data into actionable models and operational programs, she excels at bridging PMO leadership and hands-on data science execution.
8 years of coding experience
7 years of employment as a software developer
Python Coursework, Python Coursework at UC Davis Continuing and Professional Education
Master of Science - MS, Quantitative Management, Master of Science - MS, Quantitative Management at NYU Stern School of Business
Applied Machine Learning, Executive Education, Applied Machine Learning, Executive Education at Columbia Engineering
Juris Doctor (J.D.), Law, Juris Doctor (J.D.), Law at University of Puerto Rico-Rio Piedras
Law - Ian Kerr Winter Program 2016 & 2017 (UPR & uOttawa Special Exchange Program), Law - Ian Kerr Winter Program 2016 & 2017 (UPR & uOttawa Special Exchange Program) at Centre for Law, Technology and Society | University of Ottawa
Data Visualization Coursework (via Coursera), Data Visualization Coursework (via Coursera) at University of California, Davis
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