Jan Wijffels
Data Science & Statistics
Jette, Belgium
Summary
👤
Senior🎓
Top SchoolJan Wijffels is a data science and statistics consultant with 14+ years of experience running bnosac, a niche firm that delivers statistical modelling, text mining, web scraping, biostatistics and end-to-end analytics integration for enterprises. He builds production-ready analytical systems, trains teams and streamlines deployment—having previously designed a revenue management system that managed ~€80M in package pricing at Thomas Cook Belgium. His background blends Masters in Artificial Intelligence, Statistics and Commercial Engineering with hands-on work in R, SAS and digital humanities tooling. Jan pairs rigorous academic grounding with practical integration skills, often bridging research-grade methods and maintainable, automated pipelines for real-world decision making.
14 years of coding experience
Master in Artificial Intelligence, Master of Science in Statistics, Master in Commercial Engineering, Master in Artificial Intelligence, Master of Science in Statistics, Master in Commercial Engineering at KU Leuven
KU Leuven
VUB
Github Skills (200)
data-stream10
unordered-set10
tidyverse10
automation10
cpp10
pattern10
scheduler10
darknet10
task-scheduler10
unordered-map10
intent-classification10
computer-vision10
topic-modeling10
nlp10
udpipe10
Programming languages (15)
Github contributions (5)
bnosac/tokenizers.bpe
Jul 2019 - Jan 2023
R package for Byte Pair Encoding based on YouTokenToMe
Contributions:3 releases, 28 commits, 5 PRs in 3 years 5 months
byte-pair-encodingrr-packagebpetext-mining
bnosac/golgotha
Feb 2020 - May 2020
Contextualised Embeddings and Language Modelling using BERT and Friends using R
Contributions:1 release, 54 commits, 2 PRs in 3 months
berttransformertransformersnatural-language-processinglanguage-modelling
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