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Никита

Data analyst

Age:
21 years
City of residence:
Cherkasy
Ready to work:
Remote

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Nykyta Bondarenko
Data Analyst
[open contact info](look above in the "contact info" section) [open contact info](look above in the "contact info" section) Ukraine, Cherkasy (Remote)

SUMMARY
Computer Science graduate focused on Data Analysis and Python. Experienced in data visualization (Power
BI), machine learning, and automation to improve decision-making. Skilled in optimizing administrative
workflows, and implementing AI solutions.

PROFESSIONAL EXPERIENCE
Software Support 09/2020 – 01/2021
Cherkasy Gymnasium №9
Deployed and managed a school-wide remote learning system to ensure
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continuous education during the initial pandemic outbreak.
Produced instructional video guides for Google Meet and Google Classroom,
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facilitating the onboarding of students and teaching staff to digital platforms.
Excel Automation 06/2021 – 08/2022
Cherkasy State Technological University
Streamlined the university's student enrollment process by building automated
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Excel workflows, processing 1000 applications 4x faster
Data Specialist 09/2024 – 05/2026
Junior Academy of Sciences of Ukraine (МАН)
Maintained a centralized MS Excel database tracking over 5000 student
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competition records.
Built dynamic dashboards and filtering tools, reducing data segmentation time for
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regional metrics by 45%.
Automated competition result sorting, saving approximately 15 hours of manual
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work per event to categorize 1st, 2nd, and 3rd place winners.

EDUCATION
Bachelor's in Computer Science 09/2022 – 06/2026
Cherkasy State Technological University

SKILLS
Languages Data & Business Intelligence
Python, SQL Power BI, Tableau, Advanced Excel, Microsoft
Access, Data Analysis for Python (Pandas, NumPy,
Tools & Methodologies Seaborn, Plotly)
Git, Jira, Prompt Engineering

CERTIFICATES
Cisco IT Essentials (2023) Introduction to Data Analytics in Google Cloud
(2025-2026)

LANGUAGES
Ukrainian English
Native Upper-intermediate (B2)

PROJECTS
Big Data Classification & Clustering Web Service 03/2026 – 05/2026
Python, React, Machine Learning
Developed a full-stack web application to process and cluster datasets up to 1M
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rows using machine learning algorithms.
Built a Python backend for data preprocessing and model execution.
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Created a React frontend for clear visualization of cluster metrics.
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Partially integrated the project in the university course
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