Tatiana Lukianova
About Tatiana Lukianova
Tatiana Lukianova is a Data Analyst currently working at Mail.ru Group in Moscow. She has a diverse background in data analysis, having previously worked at ivi.ru, Marvelous Agency, and ADV, and holds a Master's degree in Management in Marketing Communications.
Work at Mail.ru Group
Tatiana Lukianova has been employed at Mail.ru Group as a Data Analyst since 2020. In this role, she focuses on data analysis and visualization, contributing to various projects within the organization. Her work involves utilizing advanced analytical techniques to derive insights from data, which supports decision-making processes across the company.
Previous Experience at ivi.ru
Prior to her current position, Lukianova worked as a Data Analyst at ivi.ru from 2018 to 2019. During her year at the company, she was involved in analyzing data to enhance the streaming service's offerings and user experience. This experience contributed to her development in the field of data analytics.
Education and Expertise
Tatiana Lukianova holds a Master's degree in Management in Marketing Communications from Высшая Школа Экономики, which she completed from 2014 to 2016. She also earned a Bachelor's degree in Journalism from Санкт-Петербургский Государственный Университет between 2010 and 2014. Her educational background complements her analytical skills, particularly in data visualization and manipulation.
Skills in Data Analysis Tools
Lukianova is skilled in creating data visualizations using various tools, including Tableau, Redash, Superset, Excel, and Google Spreadsheet. She has expertise in multiple SQL dialects such as Clickhouse, HiveQL, PostgreSQL, and Presto, which she employs for data analysis. Additionally, she utilizes Python libraries like pandas and numpy for data manipulation and analysis.
Diverse Industry Experience
Tatiana Lukianova has a diverse background in data analysis across several industries, including IT, gaming, e-commerce, toys, food, and mobile telecommunications. This varied experience allows her to approach data challenges from multiple perspectives, enhancing her analytical capabilities and adaptability in different market contexts.