Gerben Oostra
About Gerben Oostra
Gerben Oostra is a Senior Data Scientist currently working at Vianai Systems, Inc. in Tel Aviv, Israel, with extensive experience in machine learning, data engineering, and algorithm development across various companies in the Netherlands.
Current Role at Vianai Systems, Inc.
Gerben Oostra serves as a Senior Data Scientist at Vianai Systems, Inc. since 2021. In this role, he focuses on developing and implementing advanced data science solutions. His expertise in machine learning and data engineering supports the company's objectives in leveraging data for business insights.
Previous Experience at Nike
Prior to his current position, Gerben worked at Nike as a Senior Machine Learning Engineer for 11 months in 2021. His role involved applying machine learning techniques to enhance product offerings and operational efficiency within the organization.
Professional Background in Data Science and Engineering
Gerben has a diverse background in data science and engineering, having held various positions across multiple organizations. He worked as a Lead Data Scientist at BigData Republic for six years, where he contributed to the company's growth by co-creating business strategies. He also served as a Senior Data Scientist at VodafoneZiggo and held roles at ING Nederland and TriFinance, among others.
Educational Qualifications
Gerben Oostra holds a Master of Science in Computer Science - Algorithmic Systems from Utrecht University, which he completed from 2004 to 2008. He also earned a Bachelor of Science in Computer Science from the University of Twente between 2001 and 2004. Additionally, he has a Bachelor of Science in Physics from Utrecht University, achieved from 2004 to 2007.
Focus on Machine Learning and Efficiency
Gerben has a strong focus on productionizing reproducible machine learning pipelines, particularly in startup environments. His passion for improving efficiency through algorithms is underscored by his academic background in operations research, which informs his approach to data science and engineering.