Miguel Alvarez
Head Of Data Science
Greater Madrid Metropolitan Area Spain
Summary
👤
Senior🎓
Top SchoolMiguel Alvarez is a Head of Data Science and mathematician specialized in Operations Research, with nearly a decade of hands-on experience building optimization and machine learning solutions for complex, data-driven decision problems. He progressed from optimization consultant roles to leading data science teams at CARTO and Glovo, combining product-focused leadership with technical delivery in geospatial and logistics contexts. As an adjunct professor at two Spanish universities, he translates research-grade methods into teachable, practical workflows for students and practitioners. His background includes an MIT MicroMasters in Supply Chain Management and international studies across Amsterdam and Chicago, reflecting a global, systems-oriented approach to problems. Known for turning mathematical models into production-ready tools, he excels at aligning algorithmic rigor with business impact. Based in Greater Madrid, he brings a rare blend of academic depth and operational experience in routing, resource allocation, and spatial analytics.
10 years of coding experience
15 years of employment as a software developer
MicroMasters Program in Supply Chain Management, MicroMasters Program in Supply Chain Management at Massachusetts Institute of TechnologyInternational Relations, International Relations at Loyola University ChicagoLicenciatura en Matemáticas Mathematics, Licenciatura en Matemáticas Mathematics at Universidad Complutense de MadridMathematics, Mathematics at University of Amsterdam
Spanish, English, neerlandés
Github Skills (14)
jupyter-notebook9
spatial-data-analysis9
maps9
gis8
data-science8
python8
geospatial7
sql6
snowflake5
bigquery5
databricks4
postgresql3
api1
osc1
Programming languages (4)
Github contributions (5)
malgar/clust-learn
Dec 2022 - Aug 2024
Contributions:24 releases, 46 pushes, 32 tags in 1 year 8 months
CartoDB/research-public
Oct 2020 - Oct 2022
This repository contains the code and data related to different research initiatives carried out at CARTO by the Data Science team
Contributions:22 commits, 24 pushes, 1 branch in 2 years
data-science
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