Jan Benedikt Jagusch

Data Engineer @ QuantCo

About Jan Benedikt Jagusch

Jan Benedikt Jagusch is a Data Engineer at QuantCo in Heidelberg, Germany, with a background in data science and business intelligence.

Title and Current Position

Jan Benedikt Jagusch holds the title of Data Engineer and is currently working at QuantCo. He is based in Heidelberg, Baden-Württemberg, Germany.

Professional Background

Jan Benedikt Jagusch has a diverse professional background in data science and engineering. Prior to his current role at QuantCo, he worked at instaffo in various capacities. He served as the Team Lead Data Science between 2019 and 2021 and as a Data Scientist for 10 months in 2019. Additionally, he was a Teaching Assistant at NOVA IMS Information Management School in Lisbon, Portugal, for 6 months in 2018. His early career included a 3-year tenure as a Dual Student at Evonik in Frankfurt am Main und Umgebung, Deutschland, from 2013 to 2016.

Education and Expertise

Jan Benedikt Jagusch holds a Master of Science degree in Information Management - Business Intelligence from NOVA IMS Information Management School, which he completed between 2016 and 2018. He also holds a Bachelor of Science (B.Sc.) in International Management for Business and Information Technology from Baden-Wuerttemberg Cooperative State University (DHBW), achieved from 2013 to 2016. Additionally, he studied Business IT at the University of Tennessee, Knoxville.

Community Involvement

Jan Benedikt Jagusch is an active organizer of PyData events in the Rhine-Neckar region, which includes Heidelberg, Mannheim, and Karlsruhe. He is deeply involved in the global data science and open-source community, contributing his insights and opinions. He also encourages sponsorship for PyData events and is available to hold presentations on data science and machine learning at various events.

Guidance to Prospective Students

Jan Benedikt Jagusch offers valuable insights and opinions to prospective students who are considering studying at NOVA IMS. His involvement in various educational and professional venues makes him a significant resource for those looking to pursue careers in data science and information management.

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