Rahim Delaviz
About Rahim Delaviz
Rahim Delaviz is a Data Scientist specializing in Search & Knowledge at the European Patent Office, where he has worked since 2017. He holds advanced degrees in Industrial Engineering and Computer Science, and has experience in various roles across multiple organizations in the Netherlands and abroad.
Work at European Patent Office
Rahim Delaviz has been employed at the European Patent Office since 2017, serving as a Data Scientist in the Search & Knowledge division. His role involves utilizing data science methodologies to enhance search capabilities and knowledge management within the organization. Based in The Hague Area, Netherlands, he has contributed to various projects that focus on improving data-driven decision-making processes.
Education and Expertise
Rahim Delaviz holds multiple degrees in engineering and computer science. He earned a Master of Science in Industrial Engineering with a focus on Social and Economical Systems from Sharif University of Technology between 2000 and 2002. He furthered his education by obtaining a PhD in Computer Science from Delft University of Technology from 2009 to 2013. Additionally, he completed a Master of Science in Software Engineering of Distributed Systems at KTH Royal Institute of Technology from 2007 to 2009. His educational background supports his expertise in optimization techniques, machine learning, and data analysis.
Background
Rahim Delaviz has a diverse professional background that spans various roles in data science and programming. He began his career at Sharif University of Technology, where he worked as an MSc in Industrial Engineering from 2000 to 2002. He later held positions at SICS as a Scientific Programmer in 2008 and as a PhD researcher at TuDelft from 2009 to 2013. His experience includes working as a Data Scientist at Coolblue from 2013 to 2015 and at ING from 2016 to 2017, before joining the European Patent Office.
Professional Experience
Rahim Delaviz has accumulated significant experience in the field of data science. He worked as a Data Scientist at Coolblue for two years, where he applied his analytical skills to improve business operations. Following this, he spent a year at ING, focusing on data-driven solutions. His diverse roles have equipped him with a strong foundation in machine learning and data analysis, which he currently leverages in his position at the European Patent Office.