luis villanueva
@luisvillanueva1
I build machine learning, geospatial analytics, and LLM products that drive commercial growth and reduce fraud.
What I'm looking for
At Grupo Modelo / AB InBev, I lead analytics, machine learning, and AI initiatives that turn commercial problems into scalable data products and daily strategic actions. I reduced fraudulent TADA orders from 30% to 5% and developed a national acquisition methodology that generated 40,000+ new customers and 1.6M additional hectoliters in sales.
I build production-oriented ML and LLM systems using Databricks, PySpark, Delta Lake, MLflow, Airflow, Docker, and CI/CD. I also architected a Brand LLM Agent that combines demographic, geospatial, socioeconomic, competitive, and commercial signals to recommend the right beer brand by territory.
Previously, I built Elektra's first demand forecasting model and data warehouse foundation, and developed forecasting, sampling, statistical estimation, and scenario models at Nielsen.
Experience
Work history, roles, and key accomplishments
Senior/Lead Data Scientist
Grupo Modelo / AB InBev
Oct 2022 - Present (3 years 11 months)
Led advanced analytics, ML and AI initiatives with commercial teams, translating business problems into scalable data products and predictive models. Reduced fraudulent orders from 30% to 5% and generated 40,000+ new customers and 1.6M additional hectoliters in sales.
Education
Degrees, certifications, and relevant coursework
Instituto Politécnico Nacional (IPN)
Bachelor of Science, Mathematics Engineering
BSc in Mathematics Engineering from the Escuela Superior de Física y Matemáticas (ESFM) at IPN.
Instituto Politécnico Nacional (IPN)
Master of Science, Physico-Mathematics
Completed MSc coursework in Physico-Mathematics at the Escuela Superior de Física y Matemáticas (ESFM) at IPN.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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