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Jeroen Van Der Donckt jvdd

Programming: Python, Rust, Java, SQL, ...
Data Science: Data Analysis, Data Wrangling, Machine Learning, ...
Software Engineering: Design, Development, Testing, ...
DevOps: CI/CD, Git, Linux, ssh, ...

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Highlights

I like to solve problems with code 🖥️🤖💥. Among other things :)

plotly-resampler: add scalability to the plotly.py toolkit for time series visualization through efficient resampling in the backend.
tsflex: provide a flexible and efficient way to process & extract features from time series data.
powershap: a scikit-learn compatible feature selector using statistical hypothesis testing and power calculations on Shapley values.
argminmax: highly optimized implementation of argmin & argmax (in 1 function) using SIMD instructions and runtime CPU feature detection.
tsdownsample: extremely fast time series downsampling for visualization.

You can find me on LinkedIn.

Flexible time series feature extraction & processing

Python 442 28
Visualize large time series data with plotly.py

Python 1.2k 75
A power-full Shapley feature selection method.

Python 216 24
High-performance time series downsampling algorithms for visualization

Jupyter Notebook 234 22
Efficient argmin & argmax

Rust 64 10
Do not sleep on traditional machine learning for sleep stage scoring

Jupyter Notebook 51 7