Yannick Lehr
About Yannick Lehr
Yannick Lehr is a Data Scientist at ioki, a DB company, based in Frankfurt am Main, Germany. He has a diverse educational background in Information Technology and Management, along with experience in data analytics and application management.
Work at ioki
Yannick Lehr has been employed as a Data Scientist at ioki, a subsidiary of Deutsche Bahn (DB), since 2021. His role involves leveraging data science techniques to address modern IT-related business challenges. Based in Frankfurt am Main, Hesse, Germany, he has contributed to various projects that enhance the company's data-driven decision-making processes.
Education and Expertise
Yannick Lehr has a strong educational background in data science and management. He earned a Master of Science in Management with a focus on Data & Business Analytics from Frankfurt School of Finance & Management in 2022. Prior to that, he completed a Bachelor of Science in Business Administration and Management from the same institution in 2021. He also studied Information Technology at Friedrich-List-Schule Wiesbaden, achieving a General qualification for university entrance.
Professional Background
Before joining ioki, Yannick Lehr worked at DB Cargo AG as an Application Manager from 2018 to 2021. He also served as a Data Analytics Consultant at The University of Western Australia for four months in 2019. His earlier experience includes a part-time position as a System Administrator at You Logic AG from 2014 to 2018 and a role as a Resident Advisor at GSA - Global Student Accommodation in Perth, Australia.
International Experience
Yannick Lehr has gained international experience through his studies and work in Australia. He participated in a semester abroad at The University of Western Australia in 2019, where he studied Business, Psychology, and Management. This experience has contributed to his diverse skill set and understanding of global business practices.
Skills and Competencies
Yannick Lehr possesses a diverse range of technical skills that support his work as a Data Scientist. His expertise includes data analysis, application management, and a strong focus on addressing IT-related business challenges through data-driven solutions. His ability to balance part-time work with ongoing studies demonstrates effective time management skills.