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Junior Data Analyst

Considering positions: Junior Data Analyst, Trainee Data Analyst
Age: 22 years
City: Kyiv
Considering positions:
Junior Data Analyst, Trainee Data Analyst
Age:
22 years
City:
Kyiv

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Number: [open contact info](look above in the "contact info" section)
CHISTUHIN DANIIL
Email: [open contact info](look above in the "contact info" section)

​ DATA ANALYST​ Linkedin

ABOUT ME
Entry-level Data Analyst with a strong focus on continuous learning and hands-on practice. Actively
developing skills in data analysis, SQL, Python (Pandas, NumPy), and data visualization using Tableau
and Google Sheets. Experienced in working with educational and project datasets, including data
cleaning, exploratory data analysis (EDA), metric calculation, and dashboard creation.
Regularly complete practical tasks and mini-projects, aiming to write clean, well-structured code and
deliver clear, data-driven insights. Seeking my first Junior Data Analyst position to grow in product and
business analytics and contribute to data-informed decision-making.

EXPERIENCE
UAV Technician, Drone Space | September, 2023 – August, 2024
I designed and built long-range control enclosures and antenna systems for UAV operations, wrote
and deployed custom firmware, and performed detailed internal wiring and soldering. I integrated monitors
with control panels, established robust connections between ground stations and drones, and led extensive
field testing to validate long-distance communications. I also prepared systems and teams for operational
deployment, prioritizing reliability and mission readiness.
Freelance Backend Developer (Roof Segmentation & PDF Reporting Platform) | 2024 –
2026
Worked on a project focused on automated roof segmentation and property analysis using computer
vision. I developed a PDF reporting system that allowed users to generate, download, and populate
structured reports with their own data. I implemented backend services for report generation and secure
file delivery, wrote automated tests in Python to ensure system reliability, and created technical
documentation for the platform and APIs. I also contributed to the roof segmentation pipeline by assisting
with data preparation, validation, and integration of results into the reporting workflow.

SKILLS
●​ Python : NumPy, Pandas, Matplotlib, Seaborn, FastApi, Pydantic
●​ SQL : Advanced Queries, Window Functions, Query Optimization, Common Table
Expressions (CTE)
●​ Spreadsheets : Pivot Tables, Data Cleaning, Visualization
●​ Visualization Software : Tableau
●​ Tools : Microsoft Excel, Git , Google Colab, VS Code, Docker
●​ Statistics : Sampling, Hypothesis Testing, Correlation, Statistical Significance
●​ Languages: English (Upper-Intermediate , B2), German (A2), Ukrainian (Native)
EDUCATION
Kyiv Polytechnic Institute (KPI)
Bachelor of Telecommunications and Radio Engineering
Studied telecommunications systems, signal processing, networking fundamentals, and electronics,
building a strong technical background.
During my studies, I was introduced to data analysis through working with measurements and basic
statistics, which sparked my interest in analytics and data-driven problem solving.

COURSES
●​ Mate Academy - Data Analytics

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