Jos Polfliet
Founder And CTO at WARREN
Antwerp, Antwerp, Belgium
Summary
🤩
Rockstar🎓
Top SchoolJos Polfliet is a founder and CTO with a decade of experience building AI-first products and platforms, currently leading engineering at WARREN after founding and scaling Metamaze into a market-leading IDP. He combines hands-on machine learning and product instincts with strategic architecture work—most recently as Chief Architect at Duco to drive platform standardization and roadmaps post-acquisition. An educator as well as a practitioner, he teaches applied NLP at Vlerick Business School, translating 50+ real-world use cases into business value. Jos is also a prolific open-source contributor: he founded pandas-profiling (now ydata-profiling), a widely used data-profiling tool with thousands of stars and 100k+ monthly downloads, and has improved core profiling features and edge-case handling. Trained as an applied mathematician (Cum Laude, Universiteit Gent), he has a practical aversion to repetitive work and a knack for automating away tedium with AI. Based in Antwerp, he blends startup grit, academic teaching, and production ML craftsmanship to move models from prototype to product.
10 years of coding experience
10 years of employment as a software developer
Master of Science (M.Sc.), Applied Mathematics, Cum Laude, Master of Science (M.Sc.), Applied Mathematics, Cum Laude at Universiteit GentWetenschappen Wiskunde - 8u, Wetenschappen Wiskunde - 8u at Broederschool Sint-Niklaas
Dutch, English, French
Stackoverflow
141reputation
2kreached
4answers
0questions
Github Skills (16)
pandas10
data-exploration10
exploratory-data-analysis10
python10
data-profiling10
data-analysis10
jupyter9
statistics9
html8
jinja27
image6
ocr6
opencv6
pandas-profiling6
csv6
Programming languages (8)
Github contributions (5)
ydataai/ydata-profiling
Jan 2016 - Apr 2019
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Role in this project:
Data Scientist
Data ScientistContributions:5 releases, 97 commits, 32 PRs in 3 years 4 months
Contributions summary:Jos's contributions primarily involved enhancing the data profiling and exploratory data analysis capabilities of the `ydata-profiling` project. They made significant changes to the core `pandas_profiling` and `pandas_profiling/templates.py` files, modifying the code to improve data quality profiling and reporting. The user addressed issues related to data type handling, display, and error handling, and they added new features like handling edge cases and edge conditions to the existing data profiling reports. These changes directly contribute to improving the overall functionality and user experience of the profiling reports.
pythonjupyter-notebookpandas-profilingbig-data-analyticsstatistics
JosPolfliet/snippets
Dec 2015 - Jun 2017
Contributions:9 commits, 8 pushes, 1 branch in 1 year 5 months
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