Eduardo De La Rubia
Professor Of Practice at Central European University
Vienna, Austria
Summary
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Rockstar🎓
Top SchoolEduardo De La Rubia is a technologist and data scientist with 15 years of experience building software and organizations that make complex problems useful, pleasant, and socially meaningful. He blends hands-on engineering and rigorous quantitative reasoning with leadership roles across academia and industry, most recently as Senior Director of Data Science at Meta and now Professor of Practice at Central European University in Vienna. Eduardo has deep experience shipping production data science and test automation—contributing QA work to notable open-source projects like ropensci/skimr to ensure robust statistical tooling. His background spans CTO and principal engineering roles to advising startups, reflecting a rare mix of strategic leadership and practical coding chops. He also holds a master’s focused on negotiation and conflict resolution, which informs his collaborative approach to building teams and products.
15 years of coding experience
25 years of employment as a software developer
BS Computer Science, BS Computer Science at Middle Tennessee State University (MTSU)Master’s Degree Negotiation Conflict Resolution & Peacebuilding, Master’s Degree Negotiation Conflict Resolution & Peacebuilding at California State University-Dominguez Hills
English, Spanish
Stackoverflow
2,915reputation
1.2mreached
29answers
5questions
floating-point
top-5%
php
top-5%
algorithm
top-5%
casting
top-5%
optimization
top-5%
Github Skills (16)
r-package10
r10
testing10
testthat9
optimization9
php9
casting9
floating-point9
algorithm9
javame6
business-logic6
stored-procedures6
digital-filter6
image-manipulation6
python6
Programming languages (7)
Github contributions (5)
ropensci/skimr
May 2017 - Jun 2017
A frictionless, pipeable approach to dealing with summary statistics
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:31 commits, 24 PRs, 24 pushes in 22 days
Contributions summary:Eduardo primarily contributed to the testing and validation of the `skimr` package. Their work involved fixing existing tests, adding new tests to cover edge cases and extreme numeric values, and ensuring the package functioned correctly across various data types including numeric, factor, character, and logical vectors. The user also addressed merge conflicts and ensured test coverage after incorporating changes.
r-packagestatisticsunconf17data-scienceapproach
earino/pranayama
Apr 2020 - Nov 2022
Contributions:4 commits, 5 pushes, 1 branch in 2 years 7 months
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