Najla Mnasri
Electrical Engineering and Information Technology (Bachelor Graduate)
Electrical engineering graduate with experience in automotive sales marketing, trade marketing, and customer success. Skilled in market research, data analysis, automation pipelines, and technical support. Holds a B.Sc. and pursuing an M.Sc. in Electrical Engineering and Information Technology at Technical University of Munich.
Status
Available for new projects
Working Student - Campaign & Communication
Ams Osram GmbH
Conduct competitors’ analysis, online market research on industry trends, generate reports about automotive lighting industry actualities. Ongoing support of the HQ marketing team, collaboration with the entire Western Europe & Latin America Sales team in campaign execution.
Trade Marketing Working Student
tado° GmbH
Worked closely with Country Sales Directors, particularly for the French market, to successfully implement consumer channel strategies that increased customer acquisition - based on data analysis of market performance. Implemented a long-term automation pipeline using Google Sheets, App Script and Python, providing real-time data (from trackers such as SOA, P&L) and supporting data-driven sales and marketing decisions. Optimized weekly Amazon Ads reporting for seven European markets, enabling a 10% increase in click-through rate through accurate data analysis and targeted campaign adjustments. Success: Transformation of newly designed training programs and digital media centers for Pro° installer business, increasing conversion rates for the app and desktop website by 12%.
M.Sc. Electrical Engineering and Information Technology
Technical University of Munich
B.Sc. Electrical Engineering and Information Technology
Technical University of Munich
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 (4GB & 8GB RAM). Developed insights on privacy-preserving AI applications and optimization strategies for edge computing in business scenarios. Conducted case studies in collaboration with industry partners to optimize business operations.
2024
CleanTech Innovation Sprint
Developed energy efficiency and waste reduction solutions through ideation workshops (techniques such as brainwriting, Crazy 8s were used). Contributed to prototyping an energy-efficient solution, integrating modeling and data-driven insights to validate concepts. Success: Final presentation to industry experts on the market potential of our solutions, with positive feedback for the innovative approach.
Business Model Development - Atmospheric Water Generation
Creation of a business plan for “Water from Air” with market research, competitive analysis and product description for AWGs incl. a financial forecasting and feasibility studies for commercialization. Designed a business strategy and go-to-market plan, with a focus on the innovative water extraction technology and its impact on water shortages. Success: Prototype built in the MakerSpace. Presented business plan to stakeholders and demonstrated technical feasibility and market potential.