Data Scientist

Experience

2,5 years as C++ developer. I was engaged into computer vision projects and project that required to optimize the server load (I was researching algorithmically efficient ways to do that).

Skills

Python Data Science Machine Learning Pandas math numpy Deep Learning algorithms PyTorch Scientific Computing time series forecastng Tensorflow scikit-learn English matplotlib Jupyter Notebook

Highlights

I am a master student at Ukrainian Catholic University. I am enrolled into Data Science programme and I am currently pursuing my master thesis. At the uni we had many ML/DS related courses, many of which were ended by the project, which was done either in teams or alone. Constant participation in group projects has developed strong team-playing, problem solving and communication skills.
On previous place of work I had a project where the task was to track a laser pointer with a camera, which was successfully solved.
Furthermore, in one of the courses at UCU students split in teams and participated in a Queen's Innovation Challenge.
Particularly our solution to the problem organizers had posed was to detect and prevent potholes on the roads. For detection we used computer vision and I was in charge of creating a model that would be able to classify photos into 2 classes: with a pothole and without one.