Desirree Adegunle
Student at DigitalCrafts
Atlanta Metropolitan Area United States
Summary
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Rockstar🎓
Top SchoolDesirree Adegunle is a student and emerging software engineer based in the Atlanta metro area with four years of professional experience and hands-on full-stack training at DigitalCrafts. She contributes to open-source data visualization work—helping clarify documentation and demos for PyGraphistry’s UMAP-based notebook—demonstrating an aptitude for making complex graph-analytics tooling more accessible. Her background in English and archival research complements her technical skills, giving her a strong attention to clear communication, documentation, and data-driven storytelling. Past roles in research and community service show she pairs disciplined project work with empathy and collaboration. Desirree is building toward roles that blend front-end frameworks and Python data tooling, with a practical focus on usability and explainability in analytics.
4 years of coding experience
Senior, Senior at CIEE Council on International Educational Exchange LondonBachelor of Arts - BA, ENGLISH LANGUAGE AND LITERATURE/LETTERS, Bachelor of Arts - BA, ENGLISH LANGUAGE AND LITERATURE/LETTERS at The George Washington UniversityCIEE Council on International Educational Exchange Cape Town
Github Skills (9)
visualization10
visualizations10
python10
jupyter10
pandas9
networkx8
scikit8
data-analysis8
scikit-learn8
Programming languages (8)
Github contributions (5)
graphistry/pygraphistry
Jan 2023 - Jan 2023
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Role in this project:
Data Scientist
Data ScientistContributions:15 commits, 4 PRs, 29 pushes in 17 days
Contributions summary:Desirree primarily contributed to the project by refining and improving the documentation within the "demos/ai/Introduction" directory. Their commits focused on clarifying explanations, restructuring sentences, and adding context to enhance understanding of the project's data visualization capabilities. These revisions centered on the `simple-power-of-umap.ipynb` notebook, suggesting a focus on improving the clarity and usability of a UMAP-based data analysis demonstration.
csvpythonbig-graphsrapidstigergraph
dess890/js-object-exercises
Dec 2021 - Dec 2021
Contributions:5 pushes in 1 day
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