Trondheim, Trøndelag, Norway
4th-year MSc. Industrial Economics and Technology Management (Indøk) student at NTNU, specializing in Computer Science and Artificial Intelligence, with a main profile in Strategy, Innovation and International Business Development. As part of my degree I have completed exchange stays at Universität Mannheim in Germany and the University of Queensland in Australia, strengthening my international academic and professional perspective. I am currently working part-time as a senior advisor at Sikt on learning management system (LMS) initiatives, alongside my role as a teaching assistant at NTNU. I combine technical implementation, data-driven analysis, and strategic thinking in parallel with my studies. Previously I completed three consecutive summer internships at Sikt working with AI strategy, learning analytics, and large-scale system migration projects.
Summer Analyst Intern in the Supply Chain division. Working with developing a pipeline to automate the collection, structuring and validation of suppliers for energy supply-chain analysis.
Working with LMS initiatives supporting digital learning infrastructure in Norwegian higher education. Contributing to system implementation, data integration, and continuous improvement of platform functionality in collaboration with technical and educational stakeholders.
During my third summer at Sikt, I worked on automating the migration of plagiarism metadata from legacy systems to the assessment platform. The goal was to ensure accurate and efficient transfer of sensitive data at scale, enabling a smooth transition for institutions adopting new digital exam solutions. I designed and implemented a Python pipeline to transform CSV data into the assessment platform's JSON schema, with support for millions of records. The work involved structured error handling, validation, and performance tuning, as well as collaboration with stakeholders to align on schema requirements and delivery expectations. The solution is now ready to be handed over and scaled for production use.
In my second summer at Sikt, I collaborated with two fellow interns to explore how learning analytics can drive smarter, data-informed decisions in education. Our goal was to demonstrate the potential of using data to uncover challenges and opportunities for students, educators, and institutions alike. We leveraged modern tools such as Azure Databricks (PySpark) and Microsoft Power BI, combining skills in programming, data modeling, statistics, and machine learning. The project culminated in a comprehensive report with methods, findings, and strategic insights on how learning analytics can scale to benefit the Norwegian education sector.
TDT4259 Applied Data Science (Fall 2025) TDT4180 Human-Computer Interaction (Spring 2026)
Engaging in part-time academic support alongside my studies. I provide tutoring services to students, offering guidance and assistance for students in primary school, middle school and high school. I have primarily been assisting in courses within Mathematics, English, German and Norwegian.
FRAM NTNU is the umbrella organization of the innovation and entrepreneurship environment of NTNU. My role as Deputy Leader involves assisting the leader in decisions, meetings, budgeting and keeping touch with the university, the member organizations and the collaborating partners. Every year FRAM NTNU hosts "Innovasjonsdagene", which are two days dedicated for inspiring all students to participate in innovation and entrepreneurship. This involves extensive preparations with member organization, collaborating partners, NTNU and logistics.