Andriy Kosetsky
About Andriy Kosetsky
Andriy Kosetsky is a Data Science Analyst specializing in customer retention and acquisition strategies in the e-commerce sector. He has extensive experience in data analysis and marketing, having worked for various companies including Newfold Digital, GfK Ukraine, and JTI.
Work at Newfold Digital
Andriy Kosetsky has been employed as a Data Science Analyst at Newfold Digital since 2021. In this role, he focuses on customer retention and acquisition strategies within the e-commerce sector. His responsibilities include creating dashboards and reports using Power BI to visualize data insights, as well as developing sales forecasts to support strategic planning and decision-making.
Previous Experience in Data Analysis
Prior to his current position, Andriy Kosetsky held various roles in data analysis and market research. He worked at LeBoutique as a Data Analyst from 2019 to 2021 and at Busfor from 2017 to 2020. His experience also includes positions at OSD Group as a Database Marketing Consultant and at modnaKasta as a Data Analyst. These roles contributed to his expertise in handling large datasets and optimizing marketing strategies.
Education and Expertise
Andriy Kosetsky earned a Master’s degree in Sociology from Kyiv Mohyla Academy, studying from 1998 to 2005. He also studied Computer Aided Design at the National Technical University of Ukraine 'Kyiv Polytechnic Institute' for one year in 1997-1998. His educational background supports his analytical skills, particularly in the context of e-commerce and data science.
Career in Market Research
Andriy Kosetsky has a background in market research, having worked as a Market Research Manager at JTI from 2008 to 2010 and at Nestle from 2011 to 2012. His roles involved conducting market analysis and utilizing various methodologies to gather insights that inform business strategies.
Technical Skills and Tools
Andriy Kosetsky possesses technical skills in data analysis and marketing optimization. He is experienced in conducting A/B tests to enhance marketing effectiveness and proficient in using Google Tag Manager for web analytics. Additionally, he utilizes Big Query for managing large datasets and employs machine learning techniques to improve marketing strategies.