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-Sberbank
-Data Analyst
-Designed, implemented, and automated a thorough reporting system for monitoring the efficiency of the banking recommendation system, resulting in a 9% increase in conversion rates (Python, PySpark, Qlick Sense)
-Conducted ad-hoc analyses to identify opportunities for enhancing the recommendation system; provided data-driven recommendations that increased revenue by $1 mln per month. (PySpark, SQL, MS Excel)
-Performed statistical analysis, initiated and conducted A/B testing for banking pilot projects, providing an accurate estimation of their financial benefits, preparing them for full-scale implementation. (SQL, Python)
-While performing other tasks, gathered, cleaned, and validated data in different resources. Identified and addressed data problems in the sources used by the whole department. This improved data quality and integrity in at least 3 important sources, enhanced the accuracy of our analytical system (SQL, Qlick Sense).
20.04.2022-present
Aliexpress Russia
Junior Business Analyst
-Developed a customer dashboard (customer retention analysis, conception of a buyer persona) that has been used by key stakeholders and external e-commerce business teams of 70-80 personnel (Tableau and SQL)
-Performed ad-hoc queries for internal teams using MaxCompute and Hologres, with report formation conducted in MS Excel
-Executed analysis of promotional activities including customer segmentation, effectiveness of promotions, and A/B testing (helped to implement 10+ promotions)
Implemented and automated ad-hoc queries through Metabase for category managers, enabling them to independently extract data and conduct their own analyses.
21.02.2022-31.03.2022
OZON Marketplace
Analyst Trainee
-Performed business metrics analysis, looked for weak spots and points of growth in a category, defining KPI metrics, and creating a KPI dashboard (SQL in Vertica, ClickHouse, dashboards in Power BI)
-Developed a reporting system consisted of several dashboards in Power BI which saved 70% of time to analyze seller’s performance on the platform, plan assortment and turnover
-Performed ad-hoc queries for internal teams acquiring data from different resources (Vertica, MS SQL Server)
-Visualized the results of promotional activities in dashboards in Power BI
Automated data pipelines in Airflow.
11.08.2021-18.02.2022
Hard skills:
Programming: SQL (Window functions, analyzing execution plan), Python (Pandas, Numpy, PySpark)
ML: mathematical analysis, statistics and theory of probability, graph theory, A/B testing
Frameworks/databases: Hadoop (Apache Spark, HDFS), MSSQL Server, Vertica, Teradata, PostgreSQL
BI visualization: Power BI, Tableau, Python
Automation: Airflow, Crontab
Other tools: MS Excel (Power Pivot, Power Query), Jira, Confluence, Git
Soft skills: business-thinking, flexibility, creativity, critical thinking, attention to detail, excellent data interpretation
-Финансовый университет при Правительстве РФ
-Факультет государственного управления и финансового контроля
-Государственное и муниципальное управление
-2021
-Уральский Федеральный университет
-Высшая школа экономики и менеджмента
-Экономика
-2017 (окончила 2 года)
