For Dutch: Over Paul van der Laken
I like to mess with data.
I’ve always been fond of puzzles and computers and, over time, this developed into a passion for statistical data analysis. I particularly like analyses that automate or optimize decision-making processes and thereby prevent the human biases observed by Ariely, Kahneman, Tetlock, and their colleagues.
In line with these interests, I have been applying data analysis, analytics, and machine learning professionally as a data scientist for the past six years.
My data science career began in the domain of Human Resources (i.e., People Analytics). I strongly believe data-driven decision-making can help organizations to attract, develop, motivate, and retain their people more effectively and efficiently. I actually wrote a PhD dissertation on the topic.
My current blog deals mostly with data science, machine learning, and visualization. Data visualizations are an effective way to communicate the enormous heaps of information we generate these day. I particularly like interactive visuals, where users can freely explore patterns, unhampered by the intentions and biases of the original creators. Relatedly, I developed a fondness for text mining and analytics, where models and visualizations may be worth not just a thousand, but easily a million words. Regarding machine learning and artificial intelligence, I write about neural network applications in particular. I strongly believe we are at the dawn of a new age, where computer algorithms are solving global issues at an ever-increasing pace and simultaneously create new challenges, as we progressively automate our existence.