Roberto Sanchez is a Data Science Manager with 8 years of experience scaling global ML teams and deploying production-grade models across multiple countries and business units. At Arca Continental he grew the team from 2 to 15+ data scientists and operationalized 100+ models through a robust MLOps framework covering governance, monitoring, drift detection, and controlled rollouts. He bridges product, data engineering, and architecture to prioritize high-impact use cases and design production-first ML systems that translate into measurable business outcomes. Roberto also maintains academic ties via applied research collaborations with top universities, keeping research talent close to product development. A former professor who taught Spark-based distributed processing and supervised capstone projects, he blends hands-on technical leadership with people development and clear data-driven storytelling for technical and executive stakeholders.
7 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Tecnológico de Monterrey
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