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Samuel Lederman is a skilled Full Stack Data Scientist at CAF -banco de desarrollo de América Latina y el Caribe- since November 2018, leading machine learning initiatives for investment opportunity detection and operational efficiency. Samuel has a rich history in financial advisory roles, specializing in structuring infrastructure projects and risk assessments for public and private sectors. Formerly a Principal Cofounder at SMART RISK, a financial application focused on portfolio risk measures, Samuel has also held teaching positions at UCAB and Universidad Metropolitana, creating interactive learning experiences. Samuel's educational background includes a Master's in Statistics and Data Science from the Massachusetts Institute of Technology and degrees in Applied Mathematics and Economics from Universidad Metropolitana. Additionally, Samuel has participated in bootcamps and fellows programs, further enhancing expertise in data engineering and machine learning.