Rappi
Santiago Pineda Quintero is a seasoned data scientist currently serving as a Sr Data Scientist at Rappi since August 2025. Previously, Santiago held multiple roles, including Data Scientist at EFIGAS, where a notable achievement was the implementation of a computer vision system utilizing the YOLO algorithm for detecting potential clients. Santiago has also contributed as a Young Researcher at Universidad Nacional de Colombia, focusing on data analysis and processing within the control and digital signal processing group. Experience includes a position at Centro de Desarrollo Tecnológico BIOS, where classic machine learning algorithms were implemented for classification and anomaly detection tasks. Santiago's educational background encompasses a Master of Engineering in Artificial Intelligence from Universidad Nacional de Colombia and a degree in Electrical and Electronic Engineering, supplemented by a Technologist degree in Industrial Automation.
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