Swier Heeres
Data Scientist
Leiden, South Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolSwier Heeres is a data scientist based in Leiden with a decade of experience applying classical and deep learning to text, geospatial, image, tabular and motion data. Trained in physics and climate science (Leiden University and Utrecht), he combines strong quantitative roots with practical ML engineering to design experiments and production-ready models tailored to customer use cases. He emphasizes explainability, trustworthy predictions and operational fail-safes so stakeholders understand model limitations and implications. At Landscape he translates domain needs into robust, auditable solutions that balance accuracy with real-world deployability. A science-minded problem solver, he often blends physical intuition from meteorology and oceanography into data-driven modeling approaches.
10 years of coding experience
Bachelor of Science, Physics, Bachelor, Bachelor of Science, Physics, Bachelor at Leiden UniversityMaster of Science (MS), Physics: Meteorology, Physical Oceanography and Climate, Master of Science (MS), Physics: Meteorology, Physical Oceanography and Climate at University of UtrechtTVWO, TVWO at Wolfert van Borselen
English, Dutch, German
Github Skills (105)
python10
fasttext10
optimization10
glove10
word2vec10
corpus10
scikit10
statistics10
pipeline10
topic-modeling10
gensim10
data-science10
bayesian10
data-analysis10
word-embeddings10
Programming languages (3)
Github contributions (5)
swierh/scikit-learn
May 2020 - Sep 2020
scikit-learn: machine learning in Python
Contributions:4 pushes, 1 branch in 3 months
pythonk-meanslogistic-regressiondata-sciencelearn-machine-learning
swierh/prefect
Nov 2020 - Dec 2020
The easiest way to automate your data
Contributions:10 pushes in 10 days
pythondata
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