Summary
Sergio Tomas is a data scientist with 8 years of experience who builds production-ready machine learning solutions and end-to-end pipelines to drive commercial impact in retail. He has led initiatives that optimized sales timing, prioritized commercial actions by purchase propensity, improved resource allocation across channels, and detected promotional fraud to generate significant Trade Spend savings. With a background as a data engineer and software developer, he combines strong ETL and BI skills (Power BI, dimensional modeling) with pragmatic ML deployment and stakeholder-facing product leadership. Currently at AB InBev after driving measurable results at Datalytics, he is open to international relocation and brings a proven track record of restoring business trust in data while implementing agile ways of working.
8 years of coding experience
6 years of employment as a software developer
Ingeniería Ingeniería de sistemas, Ingeniería Ingeniería de sistemas at Universidad Tecnológica Nacional