Position: Data Analyst
Category: Data Analyst
English level: intermediate
Years of experience: 1.5

Thanks to the optimization of reports using scripts in Pandas, I saved more than 10 hours a week of an analyst's work on reports and uploads.
Optimized the work of a team (more than 20 people) of payment and PSP managers by creating new and convenient Google spreadsheets that save human resources.
In addition to analytics, thanks to good work with people and optimization of work processes, in a year he rose to the position of deputy team leader of the payment department.
I work as a payment data analyst. I create reports on various payment data, analyze segmented data, systematize and optimize processes in the payment department of a product company. 
I use:
-Excel (complex formulas, pivot tables)
-Google Sheets (complex formulas, payment data reporting optimization, Google Finance)
-Tableau for data visualization
-Python - Jupyter Notebook, Pandas, Plotly for big data processing, creating scripts to optimize reports, and visualizing aggregated data.
I am taking a course from Robot Dreams on Product Analytics, using product metrics, unit economics, and A/B tests.
Open to offers in any domain.