Kiki van Rongen

Kiki van Rongen has a diverse work experience in various roles within the field of machine learning and data analytics. In 2016, they worked as a Junior Analyst at the Study Association VSAE, where they gained hands-on experience with data analytics through projects conducted in collaboration with social and cultural institutes in Amsterdam. In 2017, they worked as a Teacher of Statistics & Mathematics at TentamenTrainingen.nl. In 2018, Kiki served as a Teaching Assistant at the Universiteit van Amsterdam, assisting with programming and web application courses. Kiki continued in this role until 2019, while also working as a Research Developer at NewDawn Robotics. From 2019 to 2020, Kiki worked as a Deep Learning Graduate at MRIguidance, conducting research on uncertainty in deep learning and visualizing uncertainty in synthetic CT images generated from MRI scans. In 2020, they returned to the Universiteit van Amsterdam as a Teaching Assistant before joining Het ConsultancyHuis in 2021 as a Machine Learning Engineer, working on IT and business solutions for the energy, telecom, and mobility market. Currently, Kiki is a Machine Learning Engineer at Xomnia.

Kiki van Rongen has a diverse and comprehensive education history. Kiki started their academic journey by obtaining a VWO Diploma, N&T from Sint Janslyceum in June 2014. Following this, they attended the University of Amsterdam from 2014 to 2017, where they completed a Bachelor's degree in Econometrics and Operations Research. During their time at the University of Amsterdam, they also achieved the Propedeuse Econometrie en Operationele Research certification in July 2015.

In 2017, Kiki van Rongen pursued a Minor degree in International Business & Management from McGill University. Subsequently, from 2018 to 2020, they attended the University of Amsterdam once again, this time for their Master's degree in Artificial intelligence.

In addition to their formal education, Kiki van Rongen has sought out additional certifications to enhance their skill set. In March 2019, they obtained the RPA Developer Level 1 certification from UiPath. Furthermore, they have recently obtained the Certified SAFe® 5 Agilist certification from Scaled Agile, Inc. in December 2022.