2023

Thom is an analytics engineer at Xebia Data within the Analytics Engineering team where he helps organizations bridge the gap between data and business by building end-to-end analytical workflows including transforming data, testing data, analysing data and dashboarding using a modern data approach.

Axel is a Senior MLOps Engineer at Transactie Monitoring Nederland. After publishing a research paper with Maastricht University on complexity of algorithms as a Data Scientist, Axel worked as a Data Scientist, and later as a Machine Learning Engineer Consultant in various industries. Currently at TMNL, Axel works innovating data through ML and MLOps at TMNL.

Rens is a Principal Data Scientist at Xebia Data. He builds AI products and the teams that drive them. Being a true authority Rens implemented LLMs in production since 2019. He created the NLP & Deep Learning training at Xebia and presented at NeurIPS on Data Centric AI.

Introducing Eva Bosma, Data Strategist at Xebia Data and our esteemed co-host for GoDataFest. With a focus on the human side of technology, Eva brings creativity, energy, and a deep understanding of the intersection between data and people. As co-host of ‘De Dataloog’ podcast and an advocate for user-centric design, she fosters collaboration and inspires innovative thinking. Eva spends her spare time on the pitch as a field hockey player, during which she learned how to collaboratively work towards the same goal!

Jeroen is a Machine Learning Engineer at Xebia Data. He holds a MSc degree in Data Science from the University of Groningen with Honors and has been involved in Software Development for many years. Jeroen sold his first software when he was 15, and started a freelance Web Development company a year later.
Jeroen worked as a Web Developer for several start-up companies, in Arnhem, Groningen and Berlin. Jeroen learned to work in a fast-paced environment, where iterations are quick due to the use of agile/scrum methodologies.

Whilst working on his Master Data Science, Jeroen worked on Machine Learning and Big Data related projects. Jeroen worked with Machine Learning frameworks such as TensorFlow, PyTorch and Sklearn, and has lots of experience in data processing libraries in Python such as Pandas and Numpy. Jeroen also worked with Big Data processing technologies such as Spark and Kafka.

Besides his usual work, Jeroen has been active in the Open Source community. Jeroen published several PyPi modules, npm modules, and has contributed to several large open source projects (Hydra from Facebook and Emberfire from Google). Jeroen also authored two chrome extensions, which are published on the web store.
Jeroen calls himself a ‘social nerd’, and is always committed to clear and smooth communication. He positions himself well in diverse or multidisciplinary teams.