Pavel Kim
About Pavel Kim
Pavel Kim is a Data Ops Engineer at Opensee, where he has worked since 2021. He holds multiple degrees in business analytics and data sciences, and has experience in data engineering and financial analysis.
Work at Opensee
Pavel Kim has been employed at Opensee since 2021, serving as a Data Ops Engineer in Paris, Île-de-France, France. In this role, he focuses on optimizing data operations and enhancing data processing workflows. Prior to his current position, he worked at Opensee as a Data Engineer from 2019 to 2021, where he contributed to various data management projects. His experience at Opensee reflects his expertise in data operations and engineering.
Education and Expertise
Pavel Kim holds a Master of Science (MSc) in Business Analytics from ESSEC Business School, which he completed from 2017 to 2019. He also studied Data Sciences at CentraleSupélec, achieving another Master of Science (MSc) during the same period. Additionally, he earned a Pre-Master's degree in Applied Mathematics and Informatics from the Higher School of Economics in 2016-2017. His academic background is complemented by a Bachelor of Business Administration (B.B.A.) from Westminster International University in Tashkent, completed from 2011 to 2015.
Professional Background
Pavel Kim's professional experience includes a role as a Data Scientist at SoBus in 2018 for five months, where he applied data analysis techniques. He also worked as a Financial Analyst/Business Analyst at AKFA Group from 2015 to 2016 in Tashkent, Uzbekistan. His diverse background in data science, engineering, and analytics has equipped him with a comprehensive skill set in data operations.
Technical Contributions
Pavel Kim has made significant contributions to the financial sector through his technical work. He developed technical solutions focusing on operations, security, and data modeling for a top-10 global bank. Additionally, he improved ETL scripts using Bash for a top-20 global bank, which enhanced data processing efficiency. These contributions highlight his ability to implement effective data solutions in high-stakes environments.