Manuel Muellerschoen
About Manuel Muellerschoen
Manuel Muellerschoen is a Machine Learning Developer with extensive experience in the field, currently working at Yousician in Helsinki. He co-founded Bit & Dat and previously held positions at Carlsberg Group and HarvestAi, while also pursuing advanced studies in Data Science and Informatics.
Current Role at Yousician
Manuel Muellerschoen serves as a Machine Learning Developer at Yousician, a position he has held since 2024. His role involves applying machine learning techniques to enhance the company's music education platform. Yousician is known for its innovative approach to teaching musical instruments through technology.
Previous Experience at Carlsberg Group
Manuel Muellerschoen worked at Carlsberg Group in two capacities. Initially, he was a Dual Student from 2016 to 2019, focusing on IT Systems Finance. He later transitioned to a Working Student role in the same department from 2019 to 2020. These experiences provided him with foundational knowledge in IT systems and finance within a corporate environment.
Educational Background in Data Science
Manuel Muellerschoen pursued advanced studies in Data Science, obtaining a Master of Science from both Aalto University and Université de Rennes I, with studies spanning from 2022 to 2024. Additionally, he completed a Master's degree at EIT Digital Alumni during the same period. This academic background equips him with a strong foundation in data analysis and machine learning.
Co-Founder Experience
Manuel Muellerschoen co-founded Fount, where he worked from 2020 to 2022. He is also a co-founder of Bit & Dat, a venture he has been involved with since 2022. His experience in these roles highlights his entrepreneurial skills and commitment to developing innovative solutions in the tech industry.
Internship at HarvestAi
In 2023, Manuel Muellerschoen completed a Machine Learning Internship at HarvestAi for a duration of two months. This role allowed him to apply his academic knowledge in a practical setting, contributing to projects focused on machine learning applications.