Summary
Gerardo Collante is a data scientist and Computer Engineering graduate from Universidad Nacional de Córdoba with nine years of experience building data pipelines, models, and BI solutions across finance, fintech, and enterprise settings. He has led product recommendation and email campaign projects at ICBC and developed credit scoring pipelines and feature engineering at Olipay, combining GCP and AWS tooling for production-ready deployments. At Groupe Renault he automated workflows with VBA and Python and created real-time dashboards, while at TalentPitch he applied NLP and clustering to user behavior analysis, including integrations with ChatGPT. Currently teaching digital systems and programming to secondary students while working at Yalo, he blends hands-on engineering with clear communication and educational mentorship. Gerardo also completed an online Leadership and Innovation program at MIT Professional Education, reflecting a deliberate interest in pairing technical depth with product and team leadership. Notably, he balances production engineering with classroom experience, making him effective at translating complex data solutions into accessible business outcomes.
9 years of coding experience
5 years of employment as a software developer
Ingeniero en Computación Ingenieria en Computación, Ingeniero en Computación Ingenieria en Computación at Universidad Nacional de Córdoba
Online Program Leadership and Innovation, Online Program Leadership and Innovation at MIT Professional Education