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Oksana

Python Developer (Intern)

Age: 42 years
City of residence: Khmelnytskyi
Ready to work: Remote
Age:
42 years
City of residence:
Khmelnytskyi
Ready to work:
Remote

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Oksana Razumna

Python Developer (Intern)
[open contact info](look above in the "contact info" section)| [open contact info](look above in the "contact info" section)
LinkedIn: [open contact info](look above in the "contact info" section)

Professional Summary

Motivated Python Developer with a strong technical background in QA and a completed 476-hour
Python Developer Program (IT Career Hub GmbH, Berlin). Skilled in Python, OOP, SQL/NoSQL, basic
Django, Git, async programming, and AI technologies, including LLMs, RAG, embeddings, and vector
search.

Experienced in backend logic analysis, API testing, database validation, and working with complex
business workflows on international projects (Procter & Gamble, Intermarché). Build practical pet
projects using Python, Google Sheets API, and AI automations.

Highly motivated to grow into a Junior Python Developer and contribute to AI-driven projects.

Technical Skills

Python & Backend Development

• Python, OOP

• Async/Await

• Django (models, ORM, views — basic)

• Modules, packages, file handling

• Google Sheets API, automation scripts

AI / LLM / RAG

• Understanding of Large Language Models (LLMs)

• Basics of Retrieval-Augmented Generation (RAG)

• Embeddings & vector search

• AI automations (document processing, Sheets integrations, simple agents)

Databases

• SQL: PostgreSQL, MySQL, Databricks SQL

• JOINS, aggregations, query optimization

• NoSQL: MongoDB

Tools & Technologies

• Git, GitHub

• Postman, Swagger, JSON

• PyCharm, VS Code
• Docker (basic), Linux (basic)

Methodologies

• Agile (Scrum, Kanban)

• SDLC, teamwork in cross-functional environments

Pet Projects

• AI Notes Assistant — Python + Google Sheets + LLMs for intelligent note generation.

• Simple RAG Chatbot — embeddings generation and vector search–based retrieval.

• Python Automation Scripts — parsing, file operations, data formatting.

Work Experience

QA Engineer | Lingaro – eCommerce & Data Projects

Poland / Remote | 2022 — 2025

• Worked with backend APIs, SQL queries, and complex business logic.

• Designed automation scripts using Python + Playwright.

• Analyzed data structures and backend workflows, gaining practical understanding useful for
development.

• Participated in grooming, refinement, and architecture discussions.

QA Engineer | Call Center Analytics System

Remote | 2019 — 2022

• API testing, MySQL queries, JSON validation, and data analysis.

• Worked with analytical models and data pipelines.

• Designed test documentation and collaborated closely with development teams.

Education

Master’s Degree in Electrical Engineering and Economics
National University of Podillia

Professional Training

Python Developer Certificate — 476 academic hours
IT Career Hub GmbH, Berlin (31.05.2024 — 15.11.2024)
Certificate No.: 31052410
German classification of the profession: 43413

Modules and grades:

• Introduction — passed

• Python Fundamentals — very good

• Linux & DevOps Basics — very good

• Data & Databases — very good

• Web Development — very good

• Project Management — passed

• Docker & Cloud Technologies — very good

• Final Project — good

Certifications

• ISTQB Foundation Level

• Microsoft Azure Data Fundamentals

• Postman – API Test Automation

Languages

• Ukrainian — Native

• English — Upper Intermediate

• Polish — Upper Intermediate

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