Artsiom Kazubouski
About Artsiom Kazubouski
Artsiom Kazubouski serves as the Lead Product Analyst at PandaDoc in Kyiv City, Ukraine, where he has worked since 2021. He holds a BSc in Business Administration and Economics from the Stockholm School of Economics in Riga and possesses expertise in advanced data processing and text mining.
Work at PandaDoc
Artsiom Kazubouski has been serving as the Lead Product Analyst at PandaDoc since 2021. In this role, he is responsible for overseeing product analysis and leveraging data to inform product development strategies. Prior to his current position, he worked as a Product Analyst at PandaDoc from 2018 to 2021, where he contributed to various projects aimed at enhancing product performance and user experience. His work is based in Kyiv City, Ukraine.
Education and Expertise
Artsiom Kazubouski studied at the Stockholm School of Economics in Riga, where he earned a Bachelor of Science degree in Business Administration and Economics from 2015 to 2018. He also attended the Belarusian State Technological University from 2011 to 2013, ranking in the top 10% of his class while studying Computer Science. His expertise includes text mining using the Natural Language Toolkit (nltk) and advanced data processing techniques with Python libraries such as pandas, numpy, and sklearn.
Professional Background
Artsiom Kazubouski has a diverse professional background that includes various roles in analytics and project management. He worked at EY as an Analyst in Advisory Services for five months in 2017-2018. He also served as a Project Manager at Imaguru Startup HUB for 11 months in 2014-2015 and coordinated activities for The Global Entrepreneurship Week in Belarus for three months in 2014. Additionally, he held leadership positions at 180 Degrees Consulting, including President from 2016 to 2017 and Team Lead from 2015 to 2016.
Technical Skills and Tools
Artsiom Kazubouski possesses a range of technical skills essential for data analysis and product management. He is proficient in using Redshift for data warehousing and analytics, and he employs Django ORM for database management. He also utilizes Apache Airflow for managing data workflows and Amazon S3 for data storage solutions. Furthermore, he uses dbt for transforming data within the analytics engineering workflow.