Thanks for visiting. To tell you a bit about myself, I am currently fascinated with how we can inform various audiences on socio-economical phenomena as observed through quantitative data analytics.
From an organisational perspective, I’m particularly interested in how marketing and product analytics applications are best performed and communicated to the relevant decision-makers (managers, C-suite, etc.). From a societal perspective, I am interested in how the insights derived through data analysis can be conveyed as news to a borader audience. Altogether, this touches on various topics ranging from the data collection process, analytics and data storytelling to cognition, biases, and media studies.
As a data professional, much of the technical aspects of my work were performed in either R or Python. I also had the opportunity to develop hands-on skills in Git, SQL, Tableau, Google Analytics (and GTM), and BigQuery (GCP), among others. In my spare time, I enjoy visiting coffee roasters, reading non-fiction (or The Economist) and cycling or cycle-touring.
MSc in Data Science, Business and Governance, 2020
Tilburg University
MSc in Economics, 2020
Tilburg University
BSc in Economics, 2016
Monash University
The data and AI training department at Growth Tribe works to demystify Artificial Intelligence for businesses and guide them through the data transformation process.
Our clients come from a variety of industries, companies trained include Accenture, Philips, Rabobank and Roche.
With the help of collaborative data science platforms, we are able to deliver the perfect mix of theory and practice in a short period of time. Our courses are ideal for aspiring Data Translators and Type A Analysts.
As a Data Scientist, I worked on all-things data from setting up data dictionaries, developing dashboards or performing ad-hoc or in-depth behaviour analysis, to carrying out marketing experiments and AB testing, profiling customers and developing product recommenders. Technology-wise, I made extensive use of R, Python, Tableau, BigQuery (GCP), and Google Analytics.
Note: Regardless of the huge potential the company was discontinued after not being able to acquire new funding.
Responsibilities included: