Together with Thomas, I’ve been building a machine learning model aiming to predict vessel destinations based on historical trajectory data. The work builds on several Master’s Theses written on the topic in association with Maritime Optima.
The main takeaway from working at Maritime Optima the summer of 2022, has been the value of building semi-automatic labeling tools for data quality purposes before training machine learning models. The tools have offered significant predictive value.
The most exciting part of working at Maritime Optima this summer has been working with real-life data and capturing insights in collaboration with industry experts. This has allowed us to make informed decisions on how to transform and clean the data before feeding it into machine learning models.
After my graduation, I am planning on working with data science in the maritime shipping industry. I believe there are many challenging and valuable problems to solve that I am excited to work on.
I want to work for a company that is serious about working on challenging analytics projects in which they provide an abundance of data in a structured way. It would also be important that there is room for experimentation and three is an experienced team from which one could learn industry practices.