Niels Hoogeveen

Niels Hoogeveen has a diverse work experience in the field of data science and machine learning. Niels has held various roles in different companies, showcasing their expertise and versatility.

Niels'smost recent role is as a Senior Data (Platform) Engineer at Kadaster, where they are responsible for developing data pipelines, building CI/CD pipelines, setting up data storage, developing APIs, deploying applications, and providing technical training.

Prior to this, they worked as the Head of Data Science / Lead Data Scientist & ML Engineer at i4talent, where they built an AI recruitment bot and developed data pipelines and bots.

Niels has also worked as a Senior Machine Learning Engineer at Rotterdam World Gateway B.V., NPO, and as a Data Scientist & Machine Learning Engineer at Navara, Twinfield Online boekhouden, and ProRail.

In addition, Niels has gained comprehensive knowledge and skills through programs and training at Xccelerated and Praesto Consulting, where they worked as a Data scientist and Data science Consultant, respectively.

Before entering the field of data science, they worked as a Data analyst and Technical Information Consultant at Semmtech, where they developed web applications and data dashboards.

Overall, Niels Hoogeveen has a strong background in data science, machine learning, and technical information consulting, demonstrating their expertise in building models, developing pipelines, and providing technical training.

Niels Hoogeveen holds a Master of Science in Engineering with a focus on Construction management and engineering from Delft University of Technology, which they earned from 2013 to 2015. Prior to that, they obtained a Bachelor of Science (BSc) in Technische bestuurskunde from the same institution from 2010 to 2013. Niels'ssecondary education took place at Alfrink College from 2003 to 2009, where they obtained a VWO (pre-university education) degree with a focus on Natuur en techniek profiel. Niels also received a certification in "Analyzing and Visualizing Data with Power BI" from edX, although the date of completion is not specified.