Fernando Irarrázaval G
Advisor at Pontificia Universidad Católica de Chile
Santiago, Santiago Metropolitan Region, Chile
Summary
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Senior🎓
Top SchoolFernando Irarrázaval G is a data and analytics leader with nine years of experience applying econometrics, Bayesian modeling, and Python engineering to improve decision-making in development and agriculture. As Head of Data & Backend Team at Enveritas (YC S18), he builds statistical and automation tooling to scale high-quality field data and guide partner impact work. He combines an MPA/ID from Harvard with hands-on consultancy for the World Bank, where he merged GIS, APIs, and large-scale econometric analysis of 15M observations. Fernando teaches economics, contributes to PyMC, and advises startups like Siip Coffee, blending academic rigor with product-focused implementation. He’s known for operationalizing complex statistical methods into reliable pipelines that serve non-technical stakeholders. Outside work he’s committed to effective giving through the 10% Pledge, reflecting a values-driven approach to impact.
9 years of coding experience
2 years of employment as a software developer
Industrial Engineering, Industrial Engineering at Pontificia Universidad Católica de ChileMaster in Public Administration in International Development (MPA/ID), Master in Public Administration in International Development (MPA/ID) at Harvard University, John F. Kennedy School of GovernmentIndustrial Engineer, Industrial Engineer at UC BerkeleyThe Entrepreneur’s Boot Camp: A Deep Dive for New Ventures, The Entrepreneur’s Boot Camp: A Deep Dive for New Ventures at Babson College
Spanish, English
Stackoverflow
913reputation
67kreached
36answers
2questions
Github Skills (118)
probabilistic-programming10
python10
data-manipulation10
mcmc10
bayesian-inference10
dataframes10
pandas10
autoencoder10
variational-inference10
data-science10
unsupervised-learning10
bayesian10
probabilistic-models10
python-lib10
data-analysis10
Programming languages (6)
Github contributions (5)
cuchoi/pandas
Jun 2019 - Sep 2020
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Contributions:40 commits, 40 pushes, 1 branch in 1 year 3 months
polarspythondatalabeled-datamanipulation
cuchoi/pymc
Jun 2022 - Jun 2022
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
Contributions:12 pushes in 6 days
pythonmachine-learningprobabilistic-programmingbayesian-statisticsprobabilistic-machine-learning
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