Yevheniia Shevchuk

Yevheniia Shevchuk

Data Analyst @ Datrics

About Yevheniia Shevchuk

Yevheniia Shevchuk is a Data Analyst currently employed at datrics.ai in Kyiv, Ukraine, where she has worked since 2021. She has previously held positions as a Mitacs Intern at the University of New Brunswick and as an IT specialist at itelligence.

Work at Datrics

Yevheniia Shevchuk has been employed at datrics.ai as a Data Analyst since 2021. In this role, she utilizes her analytical skills to interpret data and provide insights that support decision-making processes. Her work contributes to the company's focus on data-driven solutions in the tech industry. Shevchuk's experience in this position spans over three years, during which she has engaged in various projects aimed at enhancing data analysis capabilities.

Previous Experience

Before her current role, Yevheniia Shevchuk worked as an IT specialist at itelligence for two months in 2019. This position allowed her to gain practical experience in the IT sector, focusing on technology solutions and support. Additionally, she completed a Mitacs internship at the University of New Brunswick in 2018, where she worked for three months in Fredericton, New Brunswick, Canada. This internship provided her with exposure to academic research and data analysis.

Education and Expertise

Yevheniia Shevchuk studied Economic Cybernetics at Taras Shevchenko National University of Kyiv, where she earned her Bachelor's degree from 2015 to 2019. Following this, she pursued a Master's degree in Data Science at the Higher School of Economics from 2019 to 2020. Although her Master's degree remains unfinished, her educational background equips her with a solid foundation in data analysis and economic principles.

Background

Yevheniia Shevchuk is based in Kyiv, Kyiv City, Ukraine. Her career trajectory reflects a commitment to developing her skills in data analysis and IT. She has transitioned from academic studies to practical applications in the tech industry, demonstrating her adaptability and focus on data-driven methodologies.

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