Simon

My primary editor for programming. I have the most experience in Python, but through my education, we have also been introduced to F# and C.

As mentioned, Python is my primary language, and I have used it in a wide range of projects, both within and outside my studies. I have experience with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow. I have also worked with F# and C in connection with specific courses where we used them to explore different programming paradigms.

My primary tool for administration and development of relational databases. I have experience designing database schemas, normalization, and optimization of queries through SQL.

I have primarily used pgAdmin in connection with the course "Databases and Information Systems," where I helped develop a web application for food inventory management. The project involved designing a complex database that could match users' available ingredients with a recipe database to suggest meals. Here, I worked extensively with relational models and SQL logic to identify missing ingredients across thousands of data points.

My primary environment for advanced statistical analysis and visualization. I use R to process complex datasets, perform regression analyses, and present results through precise graphical representations.

Through the course "Probability and Statistics," I have gained solid experience with R, particularly in statistical modeling and inference. I have worked extensively with libraries like ggplot2 for visualization and tidyverse for data manipulation. By combining R with my skills in Python, I can choose the most effective tool for a specific analytical task, whether it involves deep statistical testing or Machine Learning.

My primary tool for technical and scientific documentation. I use LaTeX for all formal submissions and reports where precision in layout is crucial.

Throughout my studies, LaTeX has become my standard for all written work. I have extensive experience setting up complex mathematical formulas, tables, and cross-references, which are necessary in courses like Linear Algebra and Deep Learning. Using Overleaf ensures that my technical reports always meet the scientific standard for formatting and structure, which is essential in a field like computer science.

Having worked extensively with the Office suite throughout my schooling and high school years, I have achieved a high degree of proficiency with the programs. Although my primary documentation at the university is done in LaTeX, I use Word for quick word processing and proofreading, while PowerPoint is my preferred tool for visual communication. In Excel, I have knowledge of data processing and setting up budgets. My background in Danish also ensures that I always have a keen eye for linguistic precision in my presentations.