David Stauffer

Data Scientist

https://www.opentalent.in/david-stauffer

Sunnyvale, CanadaMember since June 25, 2026

Key Strengths

Extensive personal project experience in Python and MATLAB, indicating strong self-driven learning and practical application.
Demonstrated proficiency in Python for various utilities, including logging, repository management, and numerical computing (numba wrapper).
Experience with Fortran, suggesting a background in scientific computing or high-performance applications, which can be relevant for data science.
Familiarity with virtual environments (venvs project) indicates good development practices.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and focused on utility development and scientific computing. While this demonstrates initiative and technical depth, there is limited evidence of collaborative projects or direct application of data science methodologies (e.g., machine learning, statistical modeling, data visualization for business insights) that would typically align with a 'Data Scientist' role. The breadth of technologies is good, but the direct relevance to typical data science workflows is not explicitly shown.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

dhealth

January 13, 2026 – Present

Repository of miscellaneous tools related to public health policy simulations

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drepo

February 28, 2025 – Present

Tools to help manage repo consistency

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venvs

May 14, 2024 – Present

This library documents my process for creating virtual environments using pip.

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nubs

August 11, 2022 – Present

Wrapper to Python numba library for times when it may or may not exist.

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slog

February 21, 2022 – Present

Customizable extensions to built-in Python logging.

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forsat

December 10, 2019 – Present

Collect of Modern Fortran utilities written to the latest (F2018+) standards

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matlab2

November 30, 2016 – March 26, 2019

This library is a collection of MATLAB applications, archery tools, games and tricks by DStauffman (David C. Stauffer). Mostly this is just a playground. Use as you wish per the license.

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dstauffman2

November 23, 2016 – Present

The "dstauffman2" module is a collection of games, applications, extended utilities and miscellaneous documentation that I (David C. Stauffer) have found useful.

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matspace

December 13, 2015 – Present

matspace — GitHub repository

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dstauffman

March 27, 2015 – Present

Useful library of Python tools.

View Project

Key Strengths

Extensive personal project experience in Python and MATLAB, indicating strong self-driven learning and practical application.
Demonstrated proficiency in Python for various utilities, including logging, repository management, and numerical computing (numba wrapper).
Experience with Fortran, suggesting a background in scientific computing or high-performance applications, which can be relevant for data science.
Familiarity with virtual environments (venvs project) indicates good development practices.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

David Stauffer

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit