Vincent Vankrunkelsven
About Vincent Vankrunkelsven
Vincent Vankrunkelsven is a Software Engineer at DataCamp, where he has worked since 2017. He holds multiple degrees from KU Leuven and has experience in data mining, machine learning, and artificial intelligence.
Work at DataCamp
Vincent Vankrunkelsven has been employed at DataCamp since 2017 as a Software Engineer. His role involves developing software solutions and contributing to the learning platform. Prior to this position, he served as Lead Software Engineer - Teach from 2016 to 2017 and as Software Engineer - Content from 2015 to 2016. His responsibilities have included creating educational content and developing AI applications utilizing the OpenAI API and Pinecone. He has also been involved in projects related to data analysis and has participated in DataCamp's Code-Alongs, focusing on AI and data engineering.
Education and Expertise
Vincent Vankrunkelsven holds multiple degrees from KU Leuven, including a Master of Science in Financial and Actuarial Engineering (2014-2015) and a Master of Science in Engineering: Computer Science (2012-2014). He also earned a Bachelor of Science in Informatics from the same institution (2009-2012). Additionally, he studied at Universidad Politécnica de Madrid, focusing on the introduction to financial evaluation of projects in 2013. His academic background provides a strong foundation in software engineering, data mining, machine learning, and artificial intelligence.
Background
Vincent Vankrunkelsven began his career with internships, including positions at APEX R&D and Cipal in 2015 and 2013, respectively. These roles provided him with practical experience in software engineering. His early work at DataCamp included a brief internship as a Course Creator in 2015, which paved the way for his subsequent roles within the company. His experience spans various aspects of software development, particularly in data analysis and AI applications.
Achievements
Vincent Vankrunkelsven has completed several projects in data mining, machine learning, and artificial intelligence, both academically and professionally. His contributions to DataCamp include developing content for courses on Data Analysis in Spreadsheets and engaging in network analysis using the NetworkX package. His involvement in creating AI applications and participating in Code-Alongs highlights his commitment to advancing educational resources in data science and software engineering.