See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL /
See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL / See you on March 23, 2027 @ Hi!Site BXL /
AI5050 2026

Joris Pieters

// Data Scientist @ Keyrus

I have always been interested in the brain; both the human as the electronic one. As a data-scientist I constantly have to take into account both of them: computers run the heavy algorithms, but at the end of the line stand humans who make actual decisions based on the insights from data-science. Because of this I focus a lot on explaining how and why a certain procedure works and how the results should be interpreted. In practice this means a big emphasis on statistics and the usage of appropriate visualizations including interactive ones.
Using mainly – though not exclusively – the programming language R, I have tackled a wide array of different kinds of data, with geographic related data being my personal favourite.
Share on

AI that works: From hype to operational impact

We provide two real-life example cases where Keyrus uses AI in a way that actually does have proven benefits.