Yelyzaveta
Python Software Engineer
- Занятость:
- Неполная занятость.
- Возраст:
- 20 лет
- Город проживания:
- Киев
- Готов работать:
- Киев, Удаленно
Контактная информация
Соискатель указал телефон , эл. почту и LinkedIn.
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Получить контакты этого кандидата можно на странице https://www.work.ua/resumes/9552831
Образование
Среднее
Знания и навыки
Знание языков
- Английский — средний
- Украинский — свободно
Дополнительная информация
https://github.com/Neliz3
PERSONAL PROJECTS
Django Project (01/2024 - Present)
Main functionality: A website for getting main exchange rates. Technologies used: Django, flake8, GitHub Actions.
Telegram Bot for orderings + Asynchronous programming (03/2024)
Main functionality: app is divided into customer and business parts. Customer can add a product to cart. Admin can approve the order etc. Technologies used: aiogram library (for dealing with Telegram API), SQLAlchemy, flake8, GitHub Actions.
Web Site for the wholesale database (08/2023)
Main functionality: A website with authorization, admin part, sessions. Technologies used: Flask, Flask-SQLAlchemy, PostgreSQL, PostgreSQL, Bootstrap, Jinja
PHP site (05/2023)
Main functionality: A website for a dental clinic with authorization and admin part, sessions.
Technologies used: PHP, templates approach.
Dino Game (11/2022)
Main functionality: The purpose of the game is to overcome obstacles (cacti, vultures) with a character (dinosaur). Dino Game is inspired by Google's "Dinosaur game" and Zippy library.
Technologies used: OOP principles, Ursina Engine and Panda 3D libraries, Pyinstaller for generating .exe file, bash scripts.
Telegram Bot + Reverso Context + Google Translator (09/2022)
Main functionality: Telegram bot gets source and target languages from user and stores it in a database. User can enter a word/phrase and get a translation of that.
Technologies used: PostgreSQL, reverso-context-api library (for dealing with Reverso Context), aiogram library (for dealing with Telegram API).
Telegram Bot + Google Sheets (09/2021)
Main functionality: user can send an amount of spending/income and choose an appropriate category/tag. Bot writes the data into a table and user can see statistics after.
Technologies used: sqlite3, gspread library (for dealing with Google Sheets API), python-telegram-bot library (for dealing with Telegram API), .env approach to make the data more secure.
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