Position: Machine Learning Engineer / Data Scientist
Category: Data Science
English level: upper
Years of experience: 0.5


I've been working on such machine learning projects using PyTorch:
- digit recognition on MNIST dataset (DNN and CNN implementations)
- multilabel comment toxicity classification (via bag-of-words and via 1D CNN with word embedding)
- image denoising (using encoder-decoder approach)
- camera model classification with given photo (via fine-tuning mobilenet v3)
- iris classification

I consider the most exclusive and valuable skill that I received from aforementioned projects is deep understanding of math behind used ML and image-processing algorithms. So I have strong basis and I want to develop in more advanced techniques.

Also I've been working on data scraping and cleaning task of collecting movie info from IMDb using BeautifulSoup and selenium.
I would like to work in computer vision, NLP, recommender systems or other machine learning branches. I'll gladly take responsibilities of collecting and processing data, composing models architecture and training them, making something new based on insights.

I'm not interested in EDW projects.