In my statistical learning project focused on the Fantasy Premier League, I embarked on a comprehensive journey of data exploration and analysis. The project starts with thorough data preparation, including data collection, cleaning, and preprocessing. It then employs statistical analysis to discern correlations between player performance metrics and their total points. The core of the project is the development of a Multiple Linear Regression model, aimed at forecasting player points. Additionally, it includes outlier identification and correlation studies for deeper insights. The project culminates with findings that highlight key features impacting player points, providing valuable insights for FPL strategy.

Led a project on implementing a 3D Conditional Generative Adversarial Network (CGAN) for innovative 3D image generation, showcasing the potential of advanced machine learning in creating high-quality 3D images. The project involved deep learning techniques, extensive data analysis, and model training, culminating in a successful demonstration of CGAN’s capabilities in image generation and reconstruction.

In my project, I explored the efficacy of AI-powered Intelligent User Interfaces (IUIs) in software debugging. I conducted a comprehensive study involving participants using an AI-enhanced code editor, focusing on assessing the interface's usability and the impact of AI on debugging efficiency. My findings offered valuable insights into user trust and interface reliability, highlighting the potential of AI in improving debugging processes while balancing user concerns about trust and usability. This project underscored my skills in AI application and user experience research in software development.

In my project "Solving the 0/1 Knapsack problem using Quantum Annealing," I conducted a comparative analysis of quantum annealing and traditional brute force methods in solving the Knapsack Problem. This study focused on evaluating the efficiency and scalability of quantum computing techniques against conventional approaches. My role involved designing experiments, implementing quantum algorithms, and analyzing results. The project underscored my proficiency in quantum computing and optimization, demonstrating innovative problem-solving skills and a deep understanding of complex computational methods.

This study applies numerical methods (Euler, Heun, Runge-Kutta) to the Lotka-Volterra model, analyzing the effects of harvesting on prey-predator dynamics. Simulations in Matlab show how different harvesting rates alter population behaviors, providing insights into ecological system modeling.

This architectural design model is the basis for the Økern Portal's digital twin. Architects created the digital building model using the Naviate software from Symetri, in conjunction with Autodesk software. With Symetri's solutions, the project was prepared for maintenance during the early phase. Tribia's Interaxo solution contributes to ensuring the structure of all the data needed to create a digital twin.

The world is changing, and technology is increasingly taking a bigger role in it. Manual tasks that were once performed by humans are now being replaced by data programs. This report explores the extent to which we can utilize technology to enhance the optimization of existing commercial analysis tools in the market. The purpose is to investigate how we can more efficiently design and glimpse into future potential.

Today’s Wi-Fi routers operate selfishly regarding utilization of the frequency band. Because of the rapid growth of Wi-Fi devices, the users of the frequency band need to coordinate with each other in order to obtain a stable Wi-Fi environment. To achieve this, a new protocol, P2P-DPRD, has been developed by a research group at FFI.

This project has developed a tool for measuring bitrates of networks. This is implemented in a high density Wi-Fi environment at FFI’s facilities. The tool generates flows of data between APs and clients, and logs the obtained bitrate of each network.

As a Project Engineer intern, I actively participated in construction projects, collaborating with the project team to support planning, execution, and monitoring of various construction activities. I gained hands-on experience in conducting concrete calculations and other technical tasks, contributing to the successful completion of the projects. During my internship, I demonstrated adaptability and a strong willingness to learn, while also gaining insights into the real-world applications of my engineering knowledge.

As a kitchen specialist at IKEA, I guided customers through the process of designing and selecting products for their ideal kitchen. By combining expertise and customer service, I created tailored solutions that met the customers' needs and budget, ensuring a positive shopping experience.

As a science tutor, I guided students in primary school, lower secondary school, and upper secondary school, tailoring the teaching to their needs and level. I created a supportive learning environment and contributed to motivating the students to excel in science and achieve academic goals.

As a Structural Engineer, I acquired in-depth knowledge of mathematical principles and their practical application in solving intricate engineering problems. My expertise lies in designing and analyzing structures, employing advanced mathematical models and simulations. Additionally, I had the opportunity to work on a thesis project involving the application of parametric modeling techniques to create a bridge, demonstrating my proficiency in utilizing cutting-edge technology and computational methods for engineering projects.

Electrical and Electronic Engineering graduate with a specialization in Signal Processing and Communication Systems. Proficient in designing and analyzing communication technologies, with a focus on signal processing techniques. Skilled in utilizing cutting-edge tools and technologies to develop innovative solutions.