Julian Arnold
About Julian Arnold
Julian Arnold is a Data Analytics Intern at Delivery Hero SE in Berlin, with a background in mathematics and experience in analytics and machine learning.
Current Position at Delivery Hero SE
Julian Arnold is currently serving as a Data Analytics Intern at Delivery Hero SE in Berlin, Deutschland. In his role, he assists with various data analysis tasks, leveraging his background in mathematics and data science to contribute to the company's analytics initiatives.
Previous Experience at IDS GmbH
Julian Arnold has prior experience working at IDS GmbH – Analysis and Reporting Services. From 2019 to 2020, he was employed as a Working Student in Analytics Data Provision, where he focused on data analytics. Additionally, from 2017 to 2019, he held the position of Intern / Working Student in Performance Attribution. During his tenure at IDS GmbH, Julian gained substantial expertise in analytics and performance assessment.
Educational Background at Technische Universität München
Julian Arnold completed both his Bachelor's and Master's degrees in Mathematik at Technische Universität München. He earned his Bachelor of Science (BS) from 2014 to 2018 and his Master of Science (MS) from 2018 to 2020. During his Master's studies, he developed a machine learning model to predict proteasomal cleavage patterns, which supports epitope-based vaccine design. His academic work reflects his proficiency in advanced mathematical concepts and data science.
Scientific Research and Publications
Julian Arnold co-authored a scientific paper in collaboration with the ICB at Helmholtz-Zentrum Munich. This paper, set to be published later this year, underscores his involvement in significant research projects during his time at university. His work focuses on machine learning applications in biotechnology.
Personal Projects and Interests
After completing his Master's studies, Julian Arnold took a break to focus on his personal interests in music and coding. He is currently developing a web game in TypeScript with a friend, which is available in its early alpha version online. Outside of his professional work, Julian is passionate about Data Science, Machine Learning, and Music.