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

M.D in Math in my university

The head of science comitee in faculty

Winning in school olympiads in math and in physics
1.5 year as Analyst
1 year of Python Programming
1.5 year as QA Engineer

Python libraries: tensorflow.keras, scikit-learn, numpy, pandas, matplotlib, seaborn, flask, SQL-Alchemy
PythonIDE: PyCharm, Jupyter Notebook

Tools: SQL queries, Docker, Postman, Unix-Shell, Soap-UI, WinSCP, NotePad++.

Other analytical tools: Excel (2 year), Libre-office

Experience: 
I worked 1.5 years as Analyst (Requirement analyzis and Data analyzis) in three companies. After this time I got experience in data-preprocessing and preparing data to analyzis. I used Excel and Python (especially pandas) for execution my tasks and that's why I've got practical knowledges how to work with them.
Looking to further my knowledge of Python in combination with Statistics abd ML.