David Diez - Quantitative Analyst (Data Science)

David Diez

Quantitative Analyst (Data Science)

Saint Paul, Minnesota, United States

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Summary

👤

Senior

🎓

Top School

David Diez is a quantitative analyst and data scientist with 16 years of experience, currently leading data science efforts at YouTube where he has spent 13 years including nine as a team lead. He co-founded OpenIntro, contributing code and datasets to widely used open-source statistics resources and R packages that support college-level textbooks and CRAN-ready tooling. A PhD-trained statistician with a strong teaching and research background from UCLA and Harvard, he blends rigorous academic methods with product-focused analytics at scale. His GitHub work on visualization and reproducible analysis for OpenIntro highlights a knack for making statistical concepts accessible through clear figures and utility functions. Based in Saint Paul, Minnesota, he pairs deep inference expertise with practical engineering to inform product decisions and mentor teams. Notably, he has balanced long-term industry impact with sustained open-source stewardship that serves both educators and practitioners.

16 years of coding experience

University of Minnesota Twin Cities

University of California, Los Angeles

Stackoverflow

Stats

1reputation

623reached

1answer

1question

Github Skills (12)

data-visualizations10

statistics10

data-visualization10

data-visualisation10

r10

data-analysis10

data-wrangling9

textbook9

statistical-models7

android-button6

android6

android-fragments6

Programming languages (4)

RTeXJavaScriptHTML

Github contributions (5)

OpenIntroStat/openintro-statistics

Mar 2017 - Oct 2022

📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.

Role in this project:

Data Scientist

Contributions:297 commits, 3 PRs, 102 pushes in 5 years 7 months

Contributions summary:David primarily contributed to the project by updating and generating figures related to statistical analysis. The commits involved code modifications within R scripts to generate visualizations, including histograms, scatter plots, and other graphical representations for data analysis, specifically focusing on the chapters related to inference for proportions. These contributions appear to be focused on refining and updating visual aids for the textbook. The modifications included changes to x-axis labels, axis labels, and inclusion of normal distribution visualizations.

statisticsdata-scienceopenintrotextbookstat

OpenIntroStat/openintro

Aug 2017 - Aug 2022

📦 R package for data and supplemental functions for OpenIntro resources

Role in this project:

Data Scientist

Contributions:2 reviews, 98 commits, 4 PRs in 5 years 1 month

Contributions summary:David contributed to the development of the `openintro` R package, primarily by adding new datasets and utility functions related to statistical analysis and data visualization. Their work included creating a function for generating seasonal charts, incorporating data sets, and implementing functions to process and format data from SAS files. Additionally, they addressed issues to prepare the package for submission to CRAN and added new datasets along with supporting functions.

r-packagerstats-packagedatabookdownpsychology

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