Reshama Shaikh
Statistician
New York, New York, United States
Summary
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RockstarReshama Shaikh is a New York–based statistician with 11 years of experience applying Bayesian and classical methods to real-world problems. She contributes to prominent open-source projects—helping maintain PyMC example notebooks that demonstrate model averaging and up-to-date PyMC usage, and improving scikit-learn documentation to meet numpydoc standards—bridging rigorous methodology with clear, usable explanations. Her hands-on work ranges from statistical modeling and diagnostics to front-end updates for community projects like PyLadies NYC, showing a blend of technical depth and community-minded design. Known for making complex probabilistic workflows accessible, she brings both meticulous attention to reproducible examples and practical communication skills to cross-functional teams.
11 years of coding experience
Github Skills (17)
bayesian-statistics10
py10
python10
pymc10
bayesian10
html10
jupyter-notebook10
website-design10
numpydoc10
documentation10
data-analysis10
lm9
css9
generalized-linear-models9
glm9
Programming languages (16)
Github contributions (5)
pymc-devs/pymc-examples
Jul 2022 - Jan 2023
Examples of PyMC models, including a library of Jupyter notebooks.
Role in this project:
Data Scientist
Data ScientistContributions:10 reviews, 11 commits, 21 PRs in 5 months
Contributions summary:Reshama primarily contributed to the PyMC examples repository, focusing on the creation and maintenance of Jupyter notebooks related to Bayesian statistics and model diagnostics. The user updated existing notebooks, incorporating new styling, fixing links, and updating headers and footers. Key contributions include implementing model averaging and updating example notebooks to align with the latest PyMC versions, demonstrating expertise in applying and explaining Bayesian methods within this probabilistic programming framework.
pythonpymcjupyter-notebooknotebooksjupyter
scikit-learn/scikit-learn
Jun 2020 - Jun 2022
scikit-learn: machine learning in Python
Role in this project:Technical Writer
Technical WriterContributions:56 reviews, 26 commits, 43 PRs in 2 years 1 month
Contributions summary:Reshama primarily contributed to documentation improvements within the scikit-learn repository. Their commits focused on refining docstrings, ensuring compliance with numpydoc validation, and addressing formatting issues in documentation files. The user's work enhanced the clarity and accuracy of the documentation, improving the usability and understanding of the library's functionalities. These documentation changes were spread across multiple files, including those related to clustering, model evaluation, and the general website content.
data-analysispythonstatisticsdata-sciencelearn-machine-learning
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