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Achievement: Starstruckx3Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

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drbenvincent/README.md

Hi there 👋

I'm a data science consultant with a focus on Bayesian and Causal methods. I'm part of the PyMC Labs team.

Check out my website at drbenvincent.github.io where you'll find information about my open source and consulting work.

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  1. pymc-labs/CausalPy Public

    A Python package for causal inference in quasi-experimental settings

    Python 1k 77

  2. delay-discounting-analysis Public

    Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks

    MATLAB 23 8

  3. pydata-global-2024 Public

    Notebooks supporting my PyData Global 2024 talk

    Jupyter Notebook 2

  4. pydata-global-2022 Public

    Notebooks supporting my PyData Global 2022 talk

    Jupyter Notebook 10 1

1,875 contributions in the last year

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Activity overview

Contributed to pymc-labs/CausalPy, pymc-labs/pymc-marketing, drbenvincent/stock-flow-consistent and 9 other repositories
Loading A graph representing drbenvincent's contributions from July 21, 2024 to July 22, 2025. The contributions are 65% commits, 14% issues, 11% code review, 10% pull requests.

Contribution activity

July 2025

Created 26 commits in 1 repository

Created a pull request in pymc-labs/CausalPy that received 8 comments

Interrupted time series docs - more explanation and info on extracting causal impact measures

Closes #498 Adds more thorough explanation of how to interpret the estimated causal impact in a interrupted time series notebook 📚 Documentation…

+648 −95 lines changed • 8 comments
Opened 3 other pull requests in 1 repository
pymc-labs/CausalPy 2 open 1 merged
Reviewed 9 pull requests in 1 repository

Created an issue in chalk-lab/Mooncake.jl that received 1 comment

Docs have Turing.jl header

See screenshot

1 comment
Opened 2 other issues in 1 repository
pymc-labs/CausalPy 1 open 1 closed
25 contributions in private repositories Jul 1 – Jul 22
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