Position: Junior Python Data Engineer
Category: Python
English level: intermediate
Years of experience: 0

At the moment I am developing my first pet-project - "Brand Analysis".  It will search articles and posts with brand mentions and return overall statistic regarding the sentiment classification. Interface - ChatBot.
I am currently studying Python at Beetroot Academy. It helps me structure my learning. But the main emphasis is on self-study: I ​​read documentation, books, solve problems. I took several courses on interactive online platforms: Code Academy, LinkedIn learning, Prometheus.

I implement in code some interesting data science tasks and study how different approaches and methods work.
For the moment on my "portfolio" GitHub page you can find such projects as:
- CV: Objects contour recognition on video with OpenCV
- ML: Sentiment analysis of reviews with SciKit-learn
- ML: Fake news recognition with SciKit-learn
- ML: Autoencoder/Denoiser with TensorFlow (Keras)

I chose Python because I am most interested in Data science. I believe that in this area I will be able to find a large number of interesting projects for myself.

Also I have a lot of knowledge in 3D space and objects (aviation, automotive area) due to 15 years experience as Design engineer.
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