Summary
Juan Dahbura is a Data Science Engineer with a PhD in Economics and a decade of hands-on experience blending empirical econometrics with production-grade software development. Based in Tokyo, he has built datasets, published in refereed journals, and translated research into applied ML and data products at Sansan and Preferred Networks. His technical stack spans JVM languages (Java, Scala, Kotlin), Python and Stata for analysis, full‑stack web development, and practical AWS familiarity—skills honed earlier in electronic payments and credit-risk roles. Comfortable moving between academic rigor and engineering delivery, he often focuses on education and labor economics problems while shipping scalable backend systems. An avid open-source and data-first practitioner, he brings a researcher’s curiosity to production challenges and a knack for turning messy real-world data into actionable models.
10 years of coding experience
5 years of employment as a software developer
Diploma in Applied Statistics, Statistics, Diploma in Applied Statistics, Statistics at Universidad Centroamericana 'José Simeón Cañas'
Full Stack Web Development, Computer Software Engineering, Full Stack Web Development, Computer Software Engineering at Free Code Camp
PhD in Economics, Applied Econometrics, Education and Labor Economics, PhD in Economics, Applied Econometrics, Education and Labor Economics at 慶應義塾大学
Bachelor’s Degree in Economics and Business, Economics, Bachelor’s Degree in Economics and Business, Economics at Escuela Superior de Economía y Negocios
Spanish, English, Japanese