Position: Data Engineer
Category: Data Engineer
English level: pre
Years of experience: 3

0. Successfully completed full specialization of "Машинное обучение и анализ данных". Coursera certificate № 6DXHD243CRWF.
1. Create data warehouse for business intelligence.
2. Built models for classifying and clustering customer behavior in the field of consumer lending.
3. Created reports in the field of business analytics based on requests to Sybase IQ servers.
4. As part of the graduation project at the institute, a designer of financial reports for customs authorities was developed. Development language - Turbo Pascal (IDE Delphi 5), DBMS - FoxPro and Paradox.
1. Created predictive models (machine learning) of customer behavior. In tech view these projects are task of classification and clustering using SQL, Pandas, NumPy, Sklearn, XGBoost.

2. Create data warehouse for business intelligence on Sybase infrastructure using Watcom SQL and Java.
An opportunity to develop to a professional level in machine learning and programming.