Christoph Hülsmann

An der Schnittstelle zwischen Stakeholdern, die den Bedarf digitaler Lösungen sehen und jenen, welche diese programmieren - mit dem Anspruch beide Welten zu verstehen und zusammenbringen zu können. #Aktuell: Support eines TIER-1 Zulieferers aus dem Automotive Sektor in Software Requirements #Upcoming: Engagement im Public Sektor im Bereich geo-spatialer Datendarstellung #Erreicht: Sprint Reporting Dasbhboard auf Basis von Azure DevOps erstellt, um live-datenbasiertes Projektcontrolling zu ermöglichen.

Lean Management

Subjects: Business Analytics, Service Design, Machine learning for smart services, Business intelligence systems, Analysing unstructured data, Data visualisation Wrap-up project during 2nd half with a indoor air quality start up https://clairify.io/en/: Analysing business needs and suggesting machine-learning based approaches towards a room occupation prediction model Master Thesis (internship with https://www.oraylis.de/): The digital twin from a smart service perspective.

Faculty: School of Business and Economics | The pre-master is a transfer programme for students of Universities of Applied Sciences who wish to obtain a university master's degree. • Getting foundational knowledge in the field of study (i.e. academic research & writing) and becoming familiar with the concept of problem based learning • Key subjects of this pre-Master are: System Analysis and Design & ERP systems and business intelligence

Marketing und Finanzen