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We create Data Science tooling for Python at Widgetti.io, creator of Reacton, Solara, Vaex, and ipyvolume. Co-founder of Widgetti.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Widgetti
Data Scientist
June 23, 2026 – Present
jdaviz
May 7, 2019 – Present
Interactive data visualization and analysis tools for astronomical observations
View Projectipymaterialui
November 23, 2018 – December 30, 2022
Jupyter Widgets based on React Material UI components
View Projectipyvolume
December 21, 2016 – November 29, 2023
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
View Projectvaex
September 27, 2014 – Present
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on open-source contributions within the Jupyter and scientific Python ecosystems. This indicates a strong inclination towards community involvement, sharing knowledge, and building reusable tools. The projects align well with a Data Scientist role that involves developing and deploying interactive data applications and tools. The breadth of technologies used across these projects (Python, JavaScript, Vue, C++, etc.) suggests adaptability and a willingness to work across different parts of a data science stack.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on open-source contributions and tool development, which suggests a collaborative mindset, but this cannot be definitively concluded without further assessment.