Samuel Lederman is an accomplished data scientist and technology consultant with extensive experience in driving innovation in data and analytics. Currently serving as Lead Data Scientist at CAF -banco de desarrollo de América Latina y el Caribe-, Samuel leads a team while focusing on engineering, modeling, and deployment of advanced data-driven solutions. As the founder of EzeTech, Samuel specializes in transforming complex business needs into scalable data and AI architectures. Previous roles include Data Scientist at Lusha, where Samuel developed an innovative Named Entity Recognition pipeline, and Teaching Assistant at DataExpert.io, providing guidance to students in Data Engineering and Analytics. Samuel holds a MicroMasters certificate in Statistics and Data Science from MITx and dual Bachelor's degrees in Applied Mathematics and Economics from Universidad Metropolitana.
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