John Colias
Principal Data Scientist
Carrollton, Texas, United States
Summary
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Senior🎓
Top SchoolJohn Colias is a Principal Data Scientist with 13+ years of professional experience and a Ph.D. in Economics from UT Austin, blending rigorous econometrics with practical machine learning and AI for business decision-making. He has led analytics R&D and product optimization initiatives across industry and academia, most recently at AT&T and previously as Senior VP at Decision Analyst where he translated advanced methods into deployable tools. His technical toolkit spans R, Python, and C++ for bespoke modeling in choice modeling, Bayesian methods, forecasting, latent-class analysis, and geospatial integration. A seasoned instructor and program director, he has developed and taught courses in predictive modeling, deep learning, and Python, mentoring analysts and students into practitioner roles. Known for moving academic rigor into commercial practice, he also has a track record of integrating public data (e.g., Census APIs) and writing prototype software to accelerate analytics adoption.
13 years of coding experience
29 years of employment as a software developer
Ph.D., Economics, Econometrics, Mathematical Modeling, Ph.D., Economics, Econometrics, Mathematical Modeling at The University of Texas at AustinBachelor of Arts, Economics, Bachelor of Arts, Economics at Baylor University
English, GreekProgramming languages (1)
Github contributions (2)
cran/ChoiceModelR
Nov 2012 - May 2022
:exclamation: This is a read-only mirror of the CRAN R package repository. ChoiceModelR — Choice Modeling in R. Homepage: https://www.decisionanalyst.com/
Contributions:2 commits in 9 years 8 months
jvcolias/ChoiceModelR
May 2022 - May 2022
Contributions:5 pushes, 3 branches in 6 days
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