Position: Junior Data Analyst
Category: Data Science
English level: upper
Years of experience: 0.5

Have basics of Probability Theory, Statistics, Linear Algebra and Mathematical Analysis.
On my final project of the course of Data Sciense I worked with a data set from the agro company. I identified the most important clients, found out four goods with a stable consumption value and built a sales forecast for the next period (accuracy = 97%).
Non-commercial projects. 
- Manipulating, cleansing and processing data;
- Machine Learning fundamentals: clustering, classification, regression, metric vs loss function, over- vs underfitting;
- using tools and libraries such as Pandas, NumPy, SciPy, scikit-learn, matplotlib, etc.;
- ABC- and XYZ-analysis;
- Time series forecasting;
- Data visualization and reporting.