Noa Tamir
Berlin, Germany
Summary
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RockstarNoa Tamir is a Berlin-based tech and data leader with over 15 years of experience and nine years focused on hands-on engineering and data work. Currently at Plantix, she blends product-minded data science with platform coaching, mentoring teams as a lead data science coach at neuefische and organizing the PyLadies Berlin community. An active open-source contributor, she has improved onboarding and documentation for Matplotlib and strengthened test automation for pandas, showing a commitment to developer experience and reliable data tooling. Her background bridges technical QA, test engineering, and clear technical writing—skills that make her effective at scaling data practices and onboarding new contributors. Notably, she combines community leadership with practical contributions to two of Python’s most influential data libraries.
9 years of coding experience
Github Skills (11)
pandas10
pytest10
python10
documentation10
matplotlib10
testing10
data-science9
data-analysis9
data-visualization3
data-visualisation3
data-visualizations3
Programming languages (11)
Github contributions (5)
pandas-dev/pandas
Jun 2022 - Jan 2023
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:46 reviews, 13 commits, 23 PRs in 7 months
Contributions summary:Noa primarily contributed to the pandas project by adding and modifying tests. These contributions included creating tests for specific plotting functionalities, multiindex operations, and ensuring code behavior aligns with expected outcomes. Additionally, the user updated existing documentation related to testing processes and Gitpod setups to improve developer experience. The contributions focus on verifying the correctness and functionality of the pandas library.
pythondatalabeled-datamanipulationdataframes
matplotlib/matplotlib
Aug 2022 - Aug 2022
matplotlib: plotting with Python
Role in this project:Technical Writer
Technical WriterContributions:13 reviews, 5 commits, 3 PRs in 15 days
Contributions summary:Noa primarily contributed to the project by editing and updating documentation related to new contributors. These edits include improving the clarity of the onboarding process, adding details about the new contributor meeting, and fixing formatting issues. They also addressed feedback related to links within the documentation. The focus of the changes suggests an effort to improve the experience and resources available for new contributors to the Matplotlib project.
pythondata-sciencegtkdata-visualizationplotting
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