Raphael Peer
About Raphael Peer
Raphael Peer is a Machine Learning Engineer currently working at Inscribe in Stockholm. He has a diverse background in data science and computational biology, with previous roles at Blumatix Consulting, Klarna, and various academic institutions.
Current Role at Inscribe
Raphael Peer has been employed as a Machine Learning Engineer at Inscribe since 2023. He works in Stockholm, Stockholm County, Sweden, focusing on developing and implementing machine learning solutions. His role involves leveraging his extensive background in data science to enhance the company's technological capabilities.
Previous Experience at Klarna
Prior to his current position, Raphael Peer worked at Klarna as a Senior Data Scientist from 2022 to 2023. During his tenure in Stockholm, he contributed to various data-driven projects, applying his expertise in machine learning to improve customer experiences and operational efficiency.
Experience at Blumatix Consulting GmbH
Raphael Peer served as a Data Scientist at Blumatix Consulting GmbH from 2017 to 2020. His work in Salzburg involved analyzing data to provide insights and solutions for clients, enhancing their business strategies through data science methodologies.
Educational Background in Molecular Biology
Raphael Peer earned a Master of Science in Molecular Biology from the University of Vienna, studying from 2013 to 2016. He also holds a Bachelor of Science in Biology/Molecular Biology from the same institution, completed between 2009 and 2013. His educational background laid the foundation for his career in data science and machine learning.
Internship and Early Projects
Raphael Peer gained early experience in computational biology during a one-month internship at Max Perutz Labs Vienna in 2013. He also participated in contract projects with Siemens Vienna and Porsche Informatik while at the University of Salzburg, focusing on advanced data analysis and machine learning applications.