Position: Junior Data Scientist, Data Analyst, Finance Analyst
Category: Data Science
English level: intermediate
Years of experience: 1

I am the captain of the winning team of NBU University Challenge 2020.
Programming Languages: R , Python.

I have experience using:
> Data processing: tidyverse, pandas, numpy, scipy, geopandas;
> Visualization: ggplot2, matplotlib, seaborn, plotly;
> Modeling: caret, forecast, nnet, randomForest, statsmodels, sklearn;
> Depp Learning: PyTorch (Computer Vision, NLP);
> Databases: SQL;
> Big Data: Databricks (PySpark, ML);
> Report/Application: R Markdown, ShinyApp;
> Cloud: Microsoft Azure;
> Git;
> StackOverflow;
> TIBCO Statistica.

I am finishing my master's degree in economic cybernetics. 
Therefore, I have knowledge of: 
> calculus;
> linear algebra;
> discrete mathematics;
> probability theory and mathematical statistics;
> econometrics;
> time series analysis;
> financial mathematics;
> economic theory and finance.

Additionally, I took many DS & ML courses (over 20 courses, specializations, projects) on platforms such as Coursera and Datacamp.

I successfully completed Kyivstar Big Data School 5.0 and entered the top-5 best students.
New experience and new achievements.