Position: Junior Data Scientist
Category: Data Science
English level: fluent
Years of experience: 0


I’ve completed various projects (mostly in data analysis and ML, with a few older ones in embedded systems). 

My most recent creation is an optical character recognition Kaggle notebook that uses a CNN with a spatial pyramid pooling layer for classification of handwritten symbols. It’s mainly built on PyTorch. 

During an earlier work experience with Jellyfish in London, England, I was given time series data from a real business to analyse. The result is a Jupyter notebook that helps measure the impact of creative optimisations on relevant key ASO performance metrics: it produces a report that compares mean and median conversion rates two weeks prior to the optimisation to those two weeks after. The project heavily utilises pandas and also features basic Matplotlib visualisations.

A fun thing to mention from a while ago is my participation in the Robotex International line following competition in Tallinn.