Tomás Capretto

Principal Data Scientist

Argentina
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Summary

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Rockstar
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Top School
Tomás Capretto is a Principal Data Scientist and Bayesian practitioner with seven years of experience building statistical models, teaching university courses, and contributing to open-source tooling. He helped develop Bambi and contributed to PyMC, improving distribution implementations and example notebooks that make Bayesian modeling more accessible. Based in Greater Rosario, Argentina, he balances consultancy work at PyMC Labs with university teaching in Bayesian statistics and intermediate Python programming. His contributions to popular visualization galleries (Python and R Graph Gallery) show strong data visualization and front-end skills alongside backend model development. He has applied Bayesian methods across industries from biotech to marketing and has published in the Journal of Statistical Software. Colleagues know him for translating complex probabilistic ideas into runnable examples and reproducible analyses that others can immediately use.
code7 years of coding experience
job1 year of employment as a software developer
bookLicenciatura, Estadística, Licenciatura, Estadística at Universidad Nacional de Rosario
languagesSpanish, English
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Github Skills (26)

data-visualizations10
site-design10
probabilistic-programming10
python10
matplotlib10
pandas10
statistics10
data-visualisation10
statistic10
mcmc10
arviz10
pymc10
heatmap10
regression-models10
bayesian10

Programming languages (14)

PowerShellC#JavaC++CSSRustCTeX

Github contributions (5)

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bambinos/bambi

Oct 2020 - Jan 2023

BAyesian Model-Building Interface (Bambi) in Python.
Role in this project:
userData Scientist
Contributions:16 releases, 203 reviews, 224 commits in 2 years 3 months
Contributions summary:Tomás contributed significantly to the project by updating and enhancing examples, specifically those related to statistical modeling. Their work involved modifying and adding content to various notebooks that showcase different statistical techniques, including multiple regression, logistic regression, and hierarchical models. They also focused on ensuring that the code in the examples was up-to-date and that there were no issues when running the examples.
pythonregression-modelsbayesian-inferencemodel-buildingmachine-learning
holtzy/R-graph-gallery

Jun 2021 - Oct 2021

A website that displays hundreds of R charts with their code
Role in this project:
userFront-end Developer
Contributions:26 commits, 14 PRs, 1 comment in 3 months
Contributions summary:Tomás appears to be contributing to the creation of HTML-based charts, likely for a website or a similar front-end application. The commit messages and code differences show changes to the HTML structure, meta tags, and the inclusion of chart elements, showcasing a focus on developing the user interface and presentation layer. The user seems to be creating different charts and articles for the website.
chartshtmlwidgetsrdisplaysrstats
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Tomás Capretto - Principal Data Scientist