Aliaksei Yurkevich
About Aliaksei Yurkevich
Aliaksei Yurkevich is a Data Scientist with extensive experience in storytelling through data and a strong commercial understanding. He has worked at Currency.com and capital.com since 2021, and has held various leadership roles in data science across multiple organizations.
Work at Currency.com
Aliaksei Yurkevich has been employed as a Data Scientist at Currency.com since 2021. In this role, he focuses on applying data storytelling techniques to extract meaningful insights from datasets. He collaborates with strategy teams and clients, ensuring that data-driven insights align with business objectives. His responsibilities include creating data strategies and providing leadership and mentorship to teams. He works closely with senior stakeholders and C-level executives to deliver business value through data-driven decision-making.
Work at Capital.com
Since 2021, Aliaksei Yurkevich has also held the position of Data Scientist at Capital.com. His work involves leveraging data to inform strategic decisions and enhance business performance. He utilizes his expertise in data storytelling to communicate insights effectively to various stakeholders. His dual role at both Currency.com and Capital.com showcases his commitment to driving data-centric strategies within the financial sector.
Previous Experience in Data Science
Prior to his current roles, Aliaksei Yurkevich worked at BP Mobile as Lead Data Scientist from 2020 to 2021. He also served as Senior Data Scientist at Wargaming.net from 2014 to 2017. His experience includes a tenure at Social Discovery Ventures as Lead Data Scientist from 2018 to 2019, and at IAC, where he held the positions of Data Science Manager and Senior Data Scientist in 2017 and 2018. This diverse background has equipped him with a robust understanding of data science applications across various industries.
Education and Expertise
Aliaksei Yurkevich earned a Master of Technology from the Belarusian State University of Informatics and Radioelectronics, where he studied from 2005 to 2011. His educational background provides a strong foundation in data science principles. He specializes in solving business problems through the design, development, and deployment of machine learning applications, utilizing various frameworks. His unique combination of technical knowledge and commercial management skills enhances his ability to create effective data strategies.