Charmaine Siu
Cybersecurity Support Engineer at Microsoft
Kansas, Canada
Summary
🤩
Rockstar🎓
Top SchoolCharmaine Siu is a cybersecurity support engineer with 13 years of technical experience, currently working on Microsoft Defender for O365 from Kansas, Canada. She blends security operations with data and tooling expertise—contributing documentation and UI improvements to high-profile open-source projects like pandas and a JupyterLab variable inspector that improved interoperability with numpy, pandas, R, Keras and TensorFlow. Her background spans data analysis, research into CPUs/GPUs, and program management at companies including HSBC, Huawei, and Tesla, plus teaching roles in databases and communications at UBC. Equally comfortable debugging security puzzles as she is explaining complex data workflows, she brings a practical, education-minded approach to tooling and cross-team communication. Off-hours you might find her cuddling her rescue dog Brutus, a reminder that curiosity and care drive both her technical work and mentorship.
13 years of coding experience
1 year of employment as a software developer
International Baccalaureate Diploma (IBDP), International Baccalaureate Diploma (IBDP) at ESF King George V SchoolBachelor's degree, Combined Major in Business and Computer Science, Bachelor's degree, Combined Major in Business and Computer Science at The University of British Columbia
English, Chinese, Chinese
Github Skills (15)
pandas10
typescript10
typescripts10
jupyterlab10
python10
data-science10
typescript-types10
numpy10
data-analysis10
documentation9
r9
tensorflow9
back-end-development9
keras9
front-end-development8
Programming languages (15)
Github contributions (5)
jupyterlab-contrib/jupyterlab-variableInspector
Jul 2018 - Jan 2019
Variable Inspector extension for Jupyterlab
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:23 commits, 11 PRs, 12 pushes in 6 months
Contributions summary:Charmaine primarily focused on enhancing the variable inspector extension for JupyterLab. Their contributions included refactoring and improving the display of variables by integrating numpy and pandas, along with support for R, Keras, and Tensorflow. They addressed kernel and version compatibility issues, and implemented the variable inspector's user interface and title. The user also fixed bugs and improved the content display.
jupyterlab-extensionjupyter-notebookjupyterlabvariable-inspectorinspector
pandas-dev/pandas
Apr 2013 - Jan 2014
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:Data Scientist
Data ScientistContributions:10 commits in 9 months
Contributions summary:Charmaine primarily contributed to documentation updates within the pandas library. These updates focused on explaining and comparing pandas functionalities with equivalent operations in R, particularly regarding data manipulation tasks like `groupby`, `pivot_table`, and `melt`. The commits involve modifying the `comparison_with_r.rst` file to reflect pandas' capabilities, enhancing the educational value for users familiar with R. The user's work demonstrates a strong understanding of pandas' API and its practical applications in data analysis.
pythondatalabeled-datamanipulationdataframes
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.