Summary
Samir Char is a Data Scientist with eight years of applied ML experience, currently building production machine learning solutions for Microsoft Azure Core in New York. He has advanced through roles at Microsoft from intern to Data Scientist 2, bringing hands-on expertise in demand forecasting, churn and credit default modeling from prior work at Mercado Libre and Grupodot. Samir pairs strong academic training—a Columbia MS in Data Science and engineering degrees from Universidad de los Andes and Universidad Politécnica de Madrid—with practical impact, having reduced forecasting error and driven measurable uplift in commercial initiatives. He is comfortable taking prototypes to production across large-scale cloud environments and collaborating with cross-functional teams to align algorithms with business goals. An understated strength is his fluency in both engineering and product contexts, enabling him to translate complex statistical models into operational inventory and customer-retention strategies.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Science in Electronic engineering, Data Science, Robotics and Automation, Bachelor of Science in Electronic engineering, Data Science, Robotics and Automation at Universidad de los Andes - Colombia
Master of Science in Data Science, 4.083/4, Master of Science in Data Science, 4.083/4 at Columbia University in the City of New York
Electronic engineering, Electronic engineering at Universidad Politécnica de Madrid
Spanish, English