Наталія

Nataliia Korzh-Balyshyna
Python Developer
[open contact info](look above in the "contact info" section) [open contact info](look above in the "contact info" section)

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Summary
As a Data Analyst with a background in medicine, I bring a unique perspective to analyzing and
interpreting data effectively. My experience includes utilizing Python for data manipulation and
analysis, with a strong grasp of libraries such as pandas, NumPy, and Matplotlib. I have worked
extensively with data from various sources, including CSV files and databases like SQLite3 and
PostgreSQL.
My skills in data cleaning and preprocessing, along with statistical analysis and visualization,
enable me to uncover valuable insights from complex datasets. Drawing from my medical
background, I apply a meticulous approach to data validation and accuracy, ensuring reliable
conclusions and actionable recommendations.
My focus as a Data Analyst is on optimizing data workflows, identifying patterns and trends, and
contributing to data-driven decision-making processes.

Professional Experience
Self-employed, Data Analyst 2023 – present

Library service team training project
Online management system for book borrowings (team project).
Developed an online management system for book borrowings utilizing Django and Django
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Rest Framework.
Implemented a borrowing service with features such as creation, checking, and specialized logic
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for returning borrowed items.
Conducted thorough testing of the borrowing functionality to ensure reliability and accuracy
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the efficiency of the system
Technologies: Django/Django Rest Framework, PostgreSQL, Celery, Redis, Docker/Docker-
compose, Stripe API, Telegram API

Planetarium API Service training project
Online system for creating and managing astronomy shows and reservations.
Created a management system using the Django Rest Framework, encompassing astronomy
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shows, show halls, and reservation of tickets.
Implemented secure JWT authentication to enhance system security.
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Authored clear and detailed API documentation to facilitate seamless integration and
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understanding for developers interacting with the system.
Technologies: OOP, REST APIs, Django REST Framework, Docker, SQLite, Swagger API,
Unittest, Python

Job scaping and data analysis
The tool for scraping info about python-developer's vacancies and making analysis of the most
popular technologies on work.ua.
Scaping actual information about vacancies in the category Python.
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Selection of necessary information and calculations with pandas.
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Graphing based on these data and calculations with Matplotlib.
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Technologies: Python, Scrapy, pandas, Matplotlib.

Restaurant Kitchen Service training project
A kitchen management system designed to optimize work.
Developed a system for creating dishes and linking them to chefs to track staff capabilities.
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Added the ability to get or add full information about each dish, including an image.
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Crafted user-friendly interfaces using Django templates, ensuring smooth interaction of
customers with the system.
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Covered the functionality with tests to ensure reliability and accuracy.
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Technologies: OOP, Django, Render, PostgreSQL, Unittest, Python, HTML, CSS, Bootstrap

Therapist, Petropavlivka Central Hospital 2020 – 2023
Medical treatment of patients in the therapeutic department.
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Organized and developed templates for internal documentation, which made it easier to
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improve the work of colleagues secretly
Providing medical care to patients in the emergency department
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Management of the therapeutic department
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Skills
Data Analysis: BeautifulSoup, Scrapy, Numpy, Web Frameworks: Django, DRF, FastAPI
pandas, Matplotlib, Tableau
DevOps: Docker, Render.com, AWS
Databases: PostgreSQL, SQLite, Redis
Tools: Git, GitHub, Debugger, Pytest,
(basics), MongoDB (basics)
Cloudinary, Trello
Networking & Security: HTTP, SSL/TLS, JWT
Front-end: HTML, CSS, Bootstrap, JavaScript
TDD, SOLID, DRY principles (basics)

English: Upper intermediate

Education
Dnipro State Medical University, Medicine, 2012 – 2018
Master's degree

Courses
Python course at Mate academy 2024