Najla Mnasri
Electrical Engineering and Information Technology M.Sc. Student | Automotive Marketing, AI, Automation and Business Development
Electrical Engineering and Information Technology graduate currently pursuing a Master's degree at the Technical University of Munich, with experience in automotive sales marketing, trade marketing, customer success, AI-powered business solutions, process automation, data analysis, VR-based training and business development.
Status
Available for new projects
Automotive Sales Marketing Working Student - Campaign & Communication
Ams Osram GmbH
Conduct competitors’ analysis, online market research on industry trends, generate reports about automotive lighting industry actualities, and support the HQ marketing team and the Western Europe & Latin America Sales team in campaign execution.
Trade Marketing-Working Student
tado° GmbH
Worked on consumer channel strategies, data-driven sales and marketing decisions, Amazon Ads reporting, automation pipelines, training programs and digital media centers for the Pro° installer business.
Customer Success - Working Student
Usercentrics GmbH
Provided technical and administrative customer support for Consent Management Platform implementation and GDPR compliance, contributed to process improvement research, delivered technical trainings, and collaborated with product and technical support teams.
M. Sc. Electrical Engineering and Information Technology
Technical University of Munich
B. Sc. Electrical Engineering and Information Technology
Technical University of Munich, Professur für Computational Photonics
Baccalaureate, Major: Mathematics
Habib Maazoun Gymnasium
AI & Business - Developing AI-powered process solutions for business applications
Conducted research and performance benchmarking on Lightweight LLMs to evaluate feasibility on Raspberry Pi 5, developed insights on privacy-preserving AI applications and optimization strategies for edge computing in business scenarios, and conducted case studies with industry partners to optimize business operations.
2024
CleanTech Innovation Sprint, I&S Consultant
Developed energy efficiency and waste reduction solutions through ideation workshops, contributed to prototyping an energy-efficient solution using modeling and data-driven insights, and presented the solutions to industry experts.
Business Model Development - Atmospheric Water Generation
Created a business plan for “Water from Air” with market research, competitive analysis, product description, financial forecasting and feasibility studies; designed a business strategy and go-to-market plan. Prototype built in the MakerSpace and business plan presented to stakeholders.