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Roman Bange

Senior Consultant Machine Learning Devops at statworx

Roman Bange has a diverse work experience in various roles and industries. Roman started their career in 2014 as a Software Developer at Universität zu Köln, where they worked until 2015. Roman then joined KPMG Deutschland as a Cyber Security Consultant for a few months in 2017. Later that year, they worked as an Information Technology Management Consultant at Accenture DACH from June to September.

In 2018, Roman returned to Universität zu Köln as a Software Developer for a short period from May to July. Roman then joined fedger in 2019 as a Software Developer and worked until August of the same year. In 2021, they worked as a Software Engineer at UNBIND until January 2022.

Currently, Roman Bange is employed at statworx as a Consultant Machine Learning DevOps since January 2022.

Roman Bange began their education in 2013 at the University of Cologne, where they pursued a Bachelor of Science degree in Wirtschaftsinformatik. Roman completed this program in 2017. In the same year, Roman obtained a TOEFL IBT score of 103 points from ETS.

Continuing their education, Roman enrolled at the University of Cologne again in 2017 to pursue a Master of Science degree in Information Systems. Roman successfully completed this program in 2020. Additionally, in December 2016, Roman obtained the ITIL Foundation certificate in IT Service Management from APMG International.

In 2018, Roman participated in an exchange semester at the University of Sydney, although the specific field of study for this period is not provided.

Looking ahead, in January 2023, Roman obtained two certifications: the Databricks Certified Machine Learning Professional and the Academy Accreditation - Databricks Lakehouse Fundamentals, both from Databricks.

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