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Python Data Analyst
- Age:
- 17 years
- City:
- Kyiv
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Illia Narizhnyi Resume Objective Aspiring Data Analyst with a strong
foundation in Python, data visualization, and analytical
Python Data Analyst thinking. Passionate about transforming raw data into
meaningful insights to support decision-making. Proven
ability to work with datasets, create insightful visualizations,
and continuously learn new tools and technologies. Seeking
an entry-level data analyst role in a growth-oriented
company where I can contribute to real-world projects,
develop my skills, and grow professionally. Open to remote
or hybrid opportunities.
Skills
Python (pandas, numpy, matplotlib, seaborn)
[open contact info ](look above in the "contact info" section)
•
Data Analysis & Cleaning
•
[open contact info ](look above in the "contact info" section) Jupyter Notebooks
•
Git & GitHub
Trnava, Slovakia
•
SQL (basic)
•
13.05.2009 Data Visualization
•
Ukrainian Problem Solving
•
Fast Learner
•
Male Education and Qualifications Self-Taught Data Analyst
https://github.com/IlliaNarigh Online Courses & Projects — 2024–present
Completed multiple personal projects in data analysis
https://tinyurl.com/mycy3tcm
•
using public datasets.
https://tinyurl.com/8kxrm87u Learning through platforms such as Coursera, Kaggle, and
•
YouTube.
https://tinyurl.com/bdebvhvj
High School Graduate [Your School Name or "Graduated
mailto:[open contact info ](look above in the "contact info" section) from secondary school"] [City, Country] — [Year]
Work Experience Personal Data Projects (Portfolio)
Remote — 2024–present
Analyzed public datasets using Python (pandas,
•
matplotlib, seaborn).
Created Jupyter notebooks with full data exploration and
•
visual storytelling.
Published projects on GitHub:
•
https://github.com/IlliaNarigh
References Available upon request.
Interests
Machine learning and AI
•
Data storytelling
•
Solving real-world problems with data
•
Automating tasks with Python
•
Open-source contributions
•
foundation in Python, data visualization, and analytical
Python Data Analyst thinking. Passionate about transforming raw data into
meaningful insights to support decision-making. Proven
ability to work with datasets, create insightful visualizations,
and continuously learn new tools and technologies. Seeking
an entry-level data analyst role in a growth-oriented
company where I can contribute to real-world projects,
develop my skills, and grow professionally. Open to remote
or hybrid opportunities.
Skills
Python (pandas, numpy, matplotlib, seaborn)
[
•
Data Analysis & Cleaning
•
[
•
Git & GitHub
Trnava, Slovakia
•
SQL (basic)
•
13.05.2009 Data Visualization
•
Ukrainian Problem Solving
•
Fast Learner
•
Male Education and Qualifications Self-Taught Data Analyst
https://github.com/IlliaNarigh Online Courses & Projects — 2024–present
Completed multiple personal projects in data analysis
https://tinyurl.com/mycy3tcm
•
using public datasets.
https://tinyurl.com/8kxrm87u Learning through platforms such as Coursera, Kaggle, and
•
YouTube.
https://tinyurl.com/bdebvhvj
High School Graduate [Your School Name or "Graduated
mailto:[
Work Experience Personal Data Projects (Portfolio)
Remote — 2024–present
Analyzed public datasets using Python (pandas,
•
matplotlib, seaborn).
Created Jupyter notebooks with full data exploration and
•
visual storytelling.
Published projects on GitHub:
•
https://github.com/IlliaNarigh
References Available upon request.
Interests
Machine learning and AI
•
Data storytelling
•
Solving real-world problems with data
•
Automating tasks with Python
•
Open-source contributions
•
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