Peter Vidos
CEO & Co-Founder at Decent Labs
United States
Summary
🤩
Rockstar🎓
Top SchoolPeter Vidos is a founder and CEO with six years of hands-on experience building product-driven companies and leading a dataviz-focused agency, VIZZU, that turns complex datasets into compelling visual stories. He blends product leadership from multiple startups with practical full-stack contributions to open-source data-visualization tooling—having added examples and docs to the ipyvizzu project to make animated charts more accessible in Jupyter. Comfortable wearing CEO, product, and collaborator hats, he directs teams of storytelling and data professionals while staying involved in developer-facing work and documentation. His background in economics, international relations and rural innovation gives him a rare mix of analytical rigor and cross-disciplinary communication skills that inform how he frames data for diverse audiences.
6 years of coding experience
4 years of employment as a software developer
BSc, International Rural Innovation and Development, BSc, International Rural Innovation and Development at Christelijke Agrarische HogeschoolMSc, Economics, International Relations, Communication, MSc, Economics, International Relations, Communication at Corvinus University of Budapest
English, Hungarian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
data-visualizations10
jupyter-notebook10
data-visualization10
data-visualisation10
ipython10
python10
animation10
jupyter10
charting10
graph9
data-engineering8
Programming languages (4)
Github contributions (5)
vizzuhq/ipyvizzu
Mar 2022 - Jan 2023
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:23 commits, 8 PRs, 11 pushes in 9 months
Contributions summary:Peter contributed to the development of example stories and documentation within the ipyvizzu repository. Their commits include adding a new example utilizing a Titanic dataset, showcasing data visualization techniques, and correcting minor issues. They also edited the main documentation files to include installation instructions, tutorial links, and options, demonstrating a focus on both code examples and user guidance.
pythonchartingjupyter-notebookanimated-chartsplotting
vizzuhq/vizzu-workshops
Oct 2021 - Mar 2023
Contributions:78 commits, 104 pushes in 1 year 4 months
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