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

My accomplishments:

Autisim Prediction competition № 82 in the leaderboard on Kaggle.
I also earned some certificates:
AWS Cloud Technical Essentials
AWS S3 basics by coursera
(also AWS certificate) Analyze Datasets and Train ML Models using AutoML by coursera
Introduction to Data Science by IBM
PyTorch Basics for Machine Learning by IBM
Computer Vision and Image Processing Fundamentals by IBM
And more on my linkedin account.
My projects(couple of them): 

Propaganda detecting bot (Teamwork with mentor from the company)
university NLP project
Me and my team made dataset by our own. We  parsed text in telegram in two languages,
russian and ukrainian.
It was binary classification.
We used neural network to predict whether text was russian propaganda or normal one.
After model We created telegram bot.
throughout the project We had our own mentor, and in the end workers from company "SoftServe" gave us a score.

Movies recommendation system (with cosine similarity)
In this project I tried to create recommendation system on similarity between different columns which represent films.
First of all I processed a data. Then I vectorized data and I found similarity matrix with cosine similarity.

Wikiracing UA(docker exp)
Worked with postgres which was running in docker container to store my data from different wiki pages.
I cleaned data in order to store only useful links and only on ukrainian wiki.
Analysis was performed in jupyter-notebook.

My website (blog)
I wrote backend and frontend for my website.
It supposed to be blog about Japan.
You can see this project on my github.

REST API with flask (Paper work in university)
I wrote REST API for students assessment system.
I used postgresql as database with SQLAlchemy. 
Also I used alembic for migrations.
In addition to this I wrote unittests for my system.