Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 1

At the last place of work, I did an algorithm for a prototype with a scratch. It's always interesting to start from zero to make something new, particularly in scientific research. 
I took part in some IT conferences and made a presentation about the work results.
The main projects are:
1. Moscow streets noises classification (2017), the goal was to classify input urban noises onto one of the several categories (people noise / train noise / construction noise / etc).
2. Map with marked people patterns predictions (2018). The main task was to merge some metrics between several maps' layers in order to build the whole map with which we could be able to predict users' behavior patterns during the Football Championship 2018. 
3. Human faces real-time detection (2018). I needed to use neural networks with pre-trained weights in order to make some real-time faces recognitions for age and gender predictions. 
4. Object parameters estimation (2018). Under the NDA, I can only say it was related to digital signal processing and I used some SOTA radiolocation algorithms to do that. 

Also, I have learned some NLP scientific work at the university and will be glad if the project will look a little bit similar. 
The main interests: computer vision and NLP as well as information retrieval (IR).
I love small companies, because the contribution of each of its members is more valuable. Also I prefer R&D instead of industry development. 
I don't want to engage in advertising, marketing and finances.
Preferred areas: natural language processing, computer vision and information retrieval.