● Conducting data analysis across various business areas. ● Exporting, cleaning, and processing large volumes of data using SQL and Python. ● Calculating key metrics and indicators, performing statistical tests, and hypothesis testing. ● Advanced proficiency in MS Excel: pivot tables, complex formulas (including VLOOKUP), Power Query, Power Pivot, creating visualizations, and applying statistical methods. ● Writing complex SQL queries for data analysis and extraction from PostgreSQL using window functions, grouping, aggregation, and raw data preparation. ● Active use of Python (Jupyter Notebook) with libraries such as pandas, numpy, scipy, seaborn, and matplotlib for data analysis and visualization. ● Applying A/B testing methods: designing experiments, calculating sample size and duration (MDE), hashing for sample division. ● Performing comprehensive analysis of sales, profit, margin, and assortment, including vintage and cohort analysis to evaluate client group dynamics and key commercial metrics (revenue, margin, profit, costs). Projects: ● Identifying anomalies in the data warehouse of a retail company and creating interactive dashboards in Google Sheets for monitoring. ● Calculating Retention and LTV metrics for users of an online cinema service. ● Analyzing a mobile game using SQL: calculating DAU, WAU, MAU, SFW, SFM, evaluating marketing campaign effectiveness, testing financial hypotheses, and forecasting cohort size. ● Correcting and processing incorrect user events for an online cinema platform using Python.

● Conducting data analysis across various fields to identify insights and meet sales targets. ● Exporting and processing large volumes of data using different tools, ensuring accuracy and reliability of the information. ● Calculating key metrics and indicators, performing tests and hypothesis verification to optimize processes and improve efficiency. Achievements: ● Led the office to achieve its maximum sales volume. ● Reduced store losses and expenses by 15%. ● Trained employees in three offices.

● Training and onboarding new employees. ● Applying strategies to achieve sales targets. ● Conducting sales analysis of the division. Achievements: ● Consistently meeting and exceeding the division's sales plan. ● Awarded as "Best Store Manager."