Sofia Jehmlich

Graduate researcher at Institute for Data, Systems, and Society. Working with Dr. Rebentisch on model-based systems engineering: -Developing a methodology for system requirements evaluation using methods of data analysis -Applying natural language processing to convert human-readable requirements into machine-readable models

Mainly focusing on the following areas: -Compliance in environmental, health and workplace safety, transparency solutions for the energy market, and electronic Invoicing/ XRechnung Access Point

-Organized and managed a sourcing project for an automotive manufacturer -Evaluated and selected suitable strategic suppliers in China based on technical specifications -Worked in an international team with German and Chinese colleagues

-Developed & implemented data analytics methods in industry projects -Developed & applied Excel VBA, Python and Tableau

Intern at the Mercedes Benz Production Systems Powertrain -Developed & implemented lean philosophy methods in Mercedes Benz Cars manufacturing systems -Managed the project ‘Shop Floor Management’ with the aim to restructure shop floor management in every plant of Daimler AG -Organized and gave training on industrial statistics

Master thesis on the application of data analytics in model-based systems engineering (MBSE) processes

Double degree program with RWTH Aachen University Graduate student researcher at the Mechanical Engineering Department and final thesis on the conception of a valuation model of data mining methods in production management

Specialization in Production Technology and Innovation & Entrepreneurship -Deutschlandstipendium (Public-private scholarship supported by Federal Government) -RWTH Aachen Research Ambassador Scholarship -Femtec GmbH Scholarship