Hi, I’m Yeva Kupchyk. I’m an electromechanical engineer with a strong focus on data analytics, automation, and developing reliable, scalable data-driven solutions in international settings. I enjoy collaborating with business stakeholders to translate complex technical concepts into practical, value-generating results. I thrive in cross-functional teams and love building end-to-end data workflows that empower smarter decisions. I bring a hands-on background in programming, data processing, and analytics pipelines, paired with experience driving digital transformation in diverse industries. My approach is structured and analytical, always aiming for robust, measurable outcomes and clear communication with both technical and non-technical audiences.

Yeva Kupchyk

Hi, I’m Yeva Kupchyk. I’m an electromechanical engineer with a strong focus on data analytics, automation, and developing reliable, scalable data-driven solutions in international settings. I enjoy collaborating with business stakeholders to translate complex technical concepts into practical, value-generating results. I thrive in cross-functional teams and love building end-to-end data workflows that empower smarter decisions. I bring a hands-on background in programming, data processing, and analytics pipelines, paired with experience driving digital transformation in diverse industries. My approach is structured and analytical, always aiming for robust, measurable outcomes and clear communication with both technical and non-technical audiences.

Available to hire

Hi, I’m Yeva Kupchyk. I’m an electromechanical engineer with a strong focus on data analytics, automation, and developing reliable, scalable data-driven solutions in international settings. I enjoy collaborating with business stakeholders to translate complex technical concepts into practical, value-generating results. I thrive in cross-functional teams and love building end-to-end data workflows that empower smarter decisions.

I bring a hands-on background in programming, data processing, and analytics pipelines, paired with experience driving digital transformation in diverse industries. My approach is structured and analytical, always aiming for robust, measurable outcomes and clear communication with both technical and non-technical audiences.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

Spanish; Castilian
Advanced
English
Advanced
Russian
Fluent
Ukrainian
Fluent
Swedish
Beginner

Work Experience

Project Engineer at QPV
January 1, 2019 - December 31, 2024
Data Analysis & Quality Control: evaluated data integrity across large, globally distributed operational datasets supporting live, real-time performance monitoring (R, Python, SQL, Excel). Developed and automated data pipelines to incorporate plant configurations and hundreds of thousands of signals into real-time energy production and performance analytics tools, connecting top utility companies to live production data. Key liaison for client management while handling data integration and on-site technical support, contributing to a 5-star client review and additional contracts. Software Development: Led the development of a tool that optimizes the initiation process, control, error-detection and visualization of each process of solar plant integration, now used company-wide (Power BI, R). Automated data workflows, reducing processing time by at least 60%, using Python and R to integrate information into MySQL and Azure databases.
Robotics Laboratory Assistant at Polytechnic University of Madrid
January 1, 2018 - Present
Developed and enhanced educational materials for the undergraduate Robotics course, ensuring clarity and alignment with curriculum objectives.
Sustainable Agriculture Field Technician at United States Department of Agriculture
January 1, 2012 - December 31, 2013
Processed and categorized over 1000 scientific samples, directly contributing to earth science research; Compiled and analyzed 100+ natural science studies in English, Spanish, Russian, and Portuguese, supporting doctoral research projects.
Data Analyst at JJ Norden
April 1, 2025 - Present
Defined and tracked key metrics to support prioritization and follow-up across initiatives; Built Python-based automation tools, including an AI-assisted solution that significantly reduced manual analytical work; Translated analytical findings into clear insights for non-technical stakeholders

Education

Master’s Degree in Electromechanical Engineering at Polytechnic University of Madrid
January 11, 2030 - December 22, 2025
Bachelor of Science in Environmental Science at University of Maryland
January 11, 2030 - December 22, 2025

Qualifications

Google Advanced Data Analytics Certificate
January 11, 2030 - December 22, 2025
Power BI Certificate
January 11, 2030 - December 22, 2025

Industry Experience

Education, Energy & Utilities, Government, Manufacturing, Software & Internet, Professional Services, Agriculture & Mining, Computers & Electronics

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
See more