Position: Data Analyst
Category: Data Analyst
English level: intermediate
Years of experience: 2.5

Courses:
Statistics: Basics of statistics, Analyzing data in R (Stepik). Math Statistics.
Visualisation: BI developer. Tableau.
Data Science: Data Analyst, Introduction to Data science and Machine Learning, R Programming Basics, Interactive SQL Trainer (Stepik). Kaggle micro-courses + competitions, my profile: melnykmaryna).
Now, I'm started Coursera specialization: "IBM Data Science".
Python, Pandas (with libraries: Matplotlib, Seaborn, Numpy).
Ongoing I'm work as Data Analyst in GameDev company.
My responsibilities: 
Monitoring of key product metrics. Developing of marketing, product and game analitycs.
Analysis of the game economy. Workinh with raw data and check correctiness on data (logs and events).
Development and support of dashboards (Power Bi, Tableau, QuickSigth).
Development of analytical systems and internal analytical tools.

Database  Admin, Analyst (1.5 year).
Working with databases, information analysis. 
Passed courses for data scientist, data analyst: Python, R, SQL, Statistic. 
Hard skils: BigQuery, Power Bi, QuickSight, BD Athena,
Python, Data Analysis, Pandas, Numpy, ML, Data Science, Jupyter Notebook, Anaconda, Statistics, SQL, Tableau, MS Excel (pover pivot and hard function). IBM Watsons Studio
Also, I have experience working with scientific data (technical science).
gambling, dating