I'm taking a MSc in Data Science at CEU, Vienna, Austria where I've worked on:
- Predicting the origin-destination matrix of Hungary from the public road map and traffic data, under supervision of Marton Karsai and Gergely Odor
- Analyzing painters and painter networks on all scales, collecting data from web scraping + Wikidata API. (Did all data science process steps and ran statistical & dynamical analysis on networks.)
- Predicting the height and weight of NBA players from playstyle (where they throw from, etc.). An interesting machine learning project, showing gradient boosted trees can predict within 1 inch 50%+ of the times.
I hold a BSc in Electrical Engineering - combining my engineering and DS knowledge now at the Austrian Institute of Technology, working on LiDAR data as a freelancer data scientist and developer. My Bachelor's thesis: Graph theoretical models and algorithms for portfolio compression.

My CV:CV
Projects under the projects subpage (me9hanics.github.io/projects.html). More coming soon.

(to be added...)

Originally, I majored in Electrical Engineering, so I have ~4 years of knowledge of that and Electronics. Even during those years I focused on discrete mathematics, writing my thesis about applying graph theory on a problem in finance.
Maths guru, especially combinatorics 🧩 Competed for ~10 years on the highest levels. Ranked 2nd place multiple times in the TU Budapest mathematics & discrete mathematics competitions. Took academic courses since high school.
In my free time, I love to overthink stuff. I overthink cooking, overthink the complexity of society and learning algorithms, and overthink art alongside music. I overdo everything, software projects, mathematical models and this website (even if it's not very pretty).