Diederik T.

Diederik T.'s work experience includes a role as a Data Scientist at Context Labs BV starting in 2023. Prior to that, they worked at IPCOS from 2019 to 2023 as a Consultant Digital Assets & Oilfields, advising clients on digital transformation and data infrastructure. In 2018, they interned at TNO, completing an MSc. thesis on optimizing jetted radial wells using ML. From 2012 to 2017, they worked as an Engineering Consultant at GROWx, designing and building hydroponic farms. Diederik also had internships at TNO in 2014, researching multiphase forces on bends, and at Halliburton in 2012, doing R&D for cementing systems. Additionally, they worked as a Salesperson at Dynabyte from 2010 to 2012.

Diederik T. completed their education at various institutions. Diederik pursued a Master of Science (M.Sc.) in Petroleum Engineering from the Delft University of Technology, starting in 2014 and completing in 2019. Prior to that, they obtained a Bachelor's degree in Engineering, Design & Innovation from the Amsterdam University of Applied Sciences, where they studied from 2010 to 2014.

Before their higher education, Diederik attended Willem Blaeu between 2006 and 2010. The specific degree and field of study during this period are unknown.

Moreover, Diederik has obtained additional certifications in various topics related to machine learning and neural networks from Coursera. In March 2023, they completed the course "Neural Networks and Deep Learning." In April 2023, they completed the courses "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization," "Sequence Models," and "Structuring Machine Learning Projects."