Kunal Agarwal
Computer Scientist
Berkeley, California, United States
Summary
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RockstarKunal Agarwal is a computer scientist based in Berkeley with eight years of practical engineering experience and current studies in Computer Science and Applied Mathematics at UC Berkeley. He blends data science and visualization expertise, notably contributing to the popular open-source lux project to make pandas DataFrame visualizations more robust, time-series compatible, and easier to export to Altair. Comfortable at the intersection of analysis and tooling, he has focused on refining specification and view abstractions, improving alignment and filtering, and enabling standalone visualization code generation. His work reflects a mindset for making data exploration more accessible and reproducible, with a knack for thoughtful API and UX-level improvements that benefit both analysts and developers.
8 years of coding experience
Github Skills (7)
pandas10
visualization10
exploratory-data-analysis10
visualizations10
python10
data-science10
altair9
Programming languages (4)
Github contributions (5)
lux-org/lux
May 2020 - Nov 2021
Automatically visualize your pandas dataframe via a single print! 📊 💡
Role in this project:
Data Scientist
Data ScientistContributions:32 reviews, 38 commits, 41 PRs in 1 year 5 months
Contributions summary:Kunal primarily contributed to improving the visualization aspects of the `lux-org/lux` repository, a tool for automatically visualizing pandas dataframes. Their work involved refining the representation of various components such as `Spec`, `View`, and `ViewCollection`. These changes included enhancing alignment, adding filtering capabilities, generalizing channel output, and ensuring compatibility with time-series data. The user also made significant improvements to the Altair export functionality, adding a standalone option for generating visualization code.
data-analysispythondata-sciencedataframevisualize
westernguy2/lux
May 2020 - Apr 2022
Contributions:4 PRs, 250 pushes, 22 branches in 1 year 10 months
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