Position: Data analyst
Category: Data Analyst
English level: intermediate
Years of experience: 4

- Creating analytics from scratch for the Support department. It consisted of gathering requirements, deepening into all departmental processes, creating Tableau dashboards that multiple departments use every day, testing it, and continuously improving it.
Technologies: SQL, Python, Tableau

- Development of a model for forecasting sales in FMCG company. Data analysis for seasonality and trends, selection and testing of various time series forecasting models. This model was used to create the company's official forecast.
Technologies: SQL, Python, R
I performed the following tasks:
- Gathering requirements from customers
- Building interactive Tableau dashboards for data visualization and analysis;
- Analysis of Product teams activity;
- Providing actionable insights and recommendations,
- Building predictive models for main Sales KPIs;
- Reporting on key metrics, analyzing and interpreting trends on available analytics data;
- Optimization and automation of regular reports;
Technologies: Tableau, Python, SQL, AWS, Excel, R
I want create dashboards for teams to gain insights through data; conduct research to improve the product; explore and analyze data to provide actionable insights and recommendations, forecast data, automate tasks.