🎓 Master's student of Statistics and Machine Learning at Linköping University.
🎓 Bachelor's degree in Mathematical Statistics from Stockholm University.
📖 A highly motivated, technical and analytical problem solver.
📖 I love learning new concepts, simplifying them, and the pure joy it brings to teach others.
👨💻 Various Machine Learning projects.
👨💻 A Data Warehouse case project for a fictional library.
👨💻 A custom voice Assistant written in python, and run on a Raspberry Pi.
🛠️ My Master's Thesis, deep learning-based 3D MRI classification of brain tumour diagnosis, specifically with ViT and CNN.
🛠️ PG Library, a collection of infrastructure PostgreSQL scripts for a fictional library.
🛠️ A streamlined job application system, using a job API, SQLite to store job applications, and a python CLI UI.
🛠️ A Work Clock for keeping track of how much time you've worked and when. This started as a personal tool for my own need to track this data. Over time I've added some nice features such as saving data to a sqlite database and tracking individual work sessions. I'm very happy with the current version :)
🛠️ My Bachelor's Thesis on various initialization techniques for the k-means algorithm.
🛠️ A couple of small projects I'm quite proud of. A very handy clock to keep track of daily working hours, some useful machine learning helpers, and a program that automates task creation for Todoist, the task management application.
🛠️ Various Machine Learning, and Statistical projects as part of my Bachelor's and Master's programs.
- Python (PyTorch, keras, pyspark)
- PostgreSQL, SQLite
- Machine Learning
- Statistics, statistical modeling
- R (tidyverse, package development)