Position: Data Analyst
Category: Data Analyst
English level: intermediate
Years of experience: 2

Publications: "ЗАСТОСУВАННЯ ГЕНЕРАТИВНО ЗМАГАЛЬНИХ МЕРЕЖ ДЛЯ ПРОГНОЗУВАННЯ ВАЛЮТНОГО РИНКУ"
Scientific Collection «InterConf», (113): with the Proceedings of the 6th International Scientific and Practical Conference «Theory and Practice of Science: Key Aspects» (June 19-
20, 2022). Rome, Italy: Dana, 2022. 517 p.
Course: 
"Statistics with SAS" by SAS
Certificate: (JGUGY4JJGBQP)
Course:
"Introduction to Big Data" by the University of California San Diego
Certificate: (WWQR8PJ7JQP4)
Course: "Big Data Modeling and Management Systems" by the University of California San Diego
Certificate: (ER83MMLVLYPE)
Course:
"Big Data Integration and Processing" by the University of California San Diego
Certificate: (JSVX76DSRBUF)
Course:
"Machine Learning With Big Data" by the University of California San Diego
Certificate: (NC4X7E2V8G4Z)
My first work in this field was Analyst at a product company "Prof-IT".
My tasks included: 
- maintaining the functionality of the company's existing products;
- configuration and user testing of new products;
- formation of financial reporting for projects and individual users;
- search, detection, and elimination of criminal actions of users;
- also 2nd line of support for users of existing products.
Main tools: SQL (MySQL), CRM, Exel (Google sheet).
I have been working for 12 months as an analyst at the FM Logistic Dnipro company.
My task included:
- tasks of writing SQL reports to analyze the work of clients;
- configure existing and new processes in WMS;
- develop technical specifications for creating physical processes in the warehouse.
Main tools: SQL(Oracle/ BigQuery), WMS(Reflex), Exel(Google sheet), DataStudio, VBA, Apps Script.
Now I working in GlobaHub as data scientist, where I look for fraud traffic and create visualization for work and reports. 
Main tools: SQL(Oracle), Python, Exel, Elasticsearch.