Bartosch Belkius

Providing IT technology for the the next-level decentralized utility based on renewable energy.

• Lectures on: - innovation- and technology management - business process and data modelling - business intelligence and data-driven decisions • Hands-on exercises based on: - project management techniques and innovation >cloud environments, image and voice recognitions, augmented reality

• Expertise: automotive, independent aftermarket, big data, analytics, e-commerce • Team lead with responsibility for employees and budget with direct report to CIO • Developing of software products on international scale, mainly EU and SEA • Direct customer contact (B2B Sales) of our SaaS software and data-driven projects • Consulting services for business units and delivery managers

• Product owner for agile software development based on SCRUM • Identify data analytics purposes, design solution prototypes and develop solutions for: - business units and data management • Orchestrate data improvement initiatives and conduct workshops with customers

• Expertise: - IT management in insurance and financial services, automotive and industrial manufacturing • Team lead and Project Manager with: - successful and long-term evolving records for a DAX-listed insurance company • Scouting for new technology and innovation trends • Conducting workshops and pitching presentations on CxO Level

• Department for: - Business Management, Information System Management and Industrial Engineering • Expertise: - IT- and application systems - business process modelling and data organization - information management • Lecturer exchange with IUT University, Quimper (France)

• Industrie- und Handelskammer (IHK) certified, final grade: A (1,6) • First apprentice with shortened apprenticeship due to good performance

• Ph.D. Thesis: “The potentials of mobile data collection of durable goods – A simulation model to support decisions in regard to product recalls by the example of automobiles “

• Diploma Thesis: “Modern learning management systems – Applicability for part-time and full-time learning processes” (1,0)