Jasper Makkinje
About Jasper Makkinje
Jasper Makkinje is a Machine Learning Engineer currently working at Nory in Dublin, Ireland. He has a diverse background in data science, having held various positions across multiple companies in the Netherlands, and holds a Master of Science in Artificial Intelligence from Utrecht University.
Work at Nory
Jasper Makkinje has been employed as a Machine Learning Engineer at Nory since 2021. His role involves applying machine learning techniques to solve complex problems and improve processes within the organization. Nory focuses on leveraging technology to enhance operational efficiency and deliver innovative solutions.
Previous Experience in Data Science
Prior to his current role, Jasper Makkinje worked in various data science positions across multiple organizations. He served as a Data Scientist at Vantage AI from 2019 to 2021, contributing to projects in the Utrecht Area, Netherlands. He also held data science roles at 4Value, Randstad Groep Nederland, and ProRail, where he applied his expertise in data analysis and machine learning.
Educational Background
Jasper Makkinje has a strong educational foundation in Artificial Intelligence and related fields. He earned a Master of Science (MSc) with Honours in Artificial Intelligence from Utrecht University from 2016 to 2018. He also completed a Bachelor of Science, Cum Laude, in Computer Science and Cognitive Neuroscience at University College Roosevelt from 2014 to 2016. Additionally, he studied Aerospace Engineering at Delft University of Technology and completed 60 ECs towards his BSc.
Research and Internships
Jasper Makkinje has gained practical experience through various internships and research positions. He worked as a Research Intern at Crownstone in 2017 and completed a Trainee Data Science program at KLM Royal Dutch Airlines from 2017 to 2018. These roles allowed him to apply theoretical knowledge in real-world settings and develop his skills in data science.
Interdisciplinary Interests
Jasper Makkinje has a keen interest in the multidisciplinary nature of Artificial Intelligence. He integrates insights from diverse fields such as Neuroscience, Linguistics, Psychology, Mathematics, and Philosophy into his work. This approach reflects his belief in the value of being a 'Jack of all trades' and enhances his contributions to the field of AI.