Victoria Shishlenina
About Victoria Shishlenina
Victoria Shishlenina is an experienced data analyst currently working at Mail.ru Group, with a background in marketing analysis and data analytics. She holds a Bachelor's degree in Mathematical Methods in Economics and a Master's degree in Economics, and possesses skills in programming languages and advanced software tools.
Work at Mail.ru Group
Victoria Shishlenina has been employed at Mail.ru Group as an Analyst and Data Analyst since 2021. In this role, she applies her analytical skills to various projects, focusing on data-driven decision-making processes. Her experience in programming and data analysis contributes to the company's objectives in optimizing operations and enhancing user engagement.
Previous Experience at ЗАО Фирма ЦВ 'ПРОТЕК'
Prior to her current position, Victoria worked at ЗАО Фирма ЦВ 'ПРОТЕК' as a Marketing Analyst and Data Analyst from 2013 to 2020. During her seven years there, she gained significant experience in marketing analysis and data interpretation, which laid the foundation for her analytical career.
Experience at SAS
Victoria served as an Analytical Consultant at SAS from 2020 to 2021. In this role, she utilized her expertise in data analysis to assist clients with various analytical needs. Her work involved applying advanced analytical techniques to improve business outcomes.
Educational Background
Victoria Shishlenina holds a Bachelor's degree in Mathematical Methods in Economics from Far Eastern State University, which she completed from 2006 to 2011. She furthered her education with a Master's degree in Economics from Central Michigan University, where she studied from 2011 to 2013. Additionally, she completed a program in Machine Learning and Big Data Analysis at Data School Moscow from 2019 to 2020.
Skills and Expertise
Victoria is skilled in several programming languages, including Octave, MatLab, Python, and SAS. Her expertise encompasses assortment optimization, B2B preference analysis, volatility forecasting, and demand forecasting. She is proficient in advanced software tools such as SAS Studio V, VA, EG, and Eviews, which she uses to measure the effectiveness of marketing campaigns.