Chantal Van Son
Data Scientist
Heemskerk, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolChantal Van Son is a data scientist and computational linguist with 11 years of experience applying NLP, AI and advanced analytics across healthcare and life sciences. She combines academic rigor from a PhD track in computational linguistics at VU Amsterdam with hands-on product impact—building models for early signal detection, population monitoring and ontology-driven medical standardization. At Odion she focuses on practical, rule-light reporting and proactive care-change detection in disability care, having previously developed clinical decision-support NLP at OKRA.ai. She also teaches and authored course material for Python for Text Analysis, contributing Jupyter-based notebooks that bridge unstructured text processing and real-world exercises. Colleagues rely on her interdisciplinary fluency—linguistics, software, and domain knowledge—to turn complex textual data into actionable insights.
11 years of coding experience
4 years of employment as a software developer
Master of Arts (Research) Taalwetenschappen / Linguistics, Master of Arts (Research) Taalwetenschappen / Linguistics at Vrije Universiteit Amsterdam (VU Amsterdam)Gymnasium Natuur & Gezondheid, Gymnasium Natuur & Gezondheid at Bonhoeffer College Castricum
Dutch, English
Github Skills (8)
nltk10
tokenize10
jupyter-notebook10
tokenizer10
lemmatization10
python10
text-processing10
data-analysis9
Programming languages (5)
Github contributions (5)
cltl/python-for-text-analysis
Oct 2016 - Jan 2019
If you want to use Python for text analysis, this course is for you!
Role in this project:
Data Scientist
Data ScientistContributions:2 releases, 274 commits, 129 pushes in 2 years 3 months
Contributions summary:Chantal's first commit introduces a Jupyter Notebook (Topic 2.ipynb) focused on working with unstructured and structured data. This includes topics on text processing, file handling, tokenization, and lemmatization using the NLTK library. The subsequent commits involve clearing outputs and minor updates to the notebook, indicating an active role in developing and refining the course material for text analysis. Finally, the commits show the development of various exercises related to the analysis of the 2016 Presidential Debate.
nlpnatural-language-processingpythonpython3
cltl/FrameNet-annotation-tool
Feb 2015 - Jan 2018
Contributions:53 commits, 59 pushes, 1 branch in 2 years 11 months
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