Олександр Ветеран

OLEKSANDR

PYTHON DEVELOPER

ABOUT MYSELF

Hello, I am a Python developer with experience in web
scraping, process automation, desktop application
development, and chatbot creation. I have strong
knowledge of object-oriented programming, API
integration, and experience with libraries for data scraping
and manipulation (BeautifulSoup, Requests). Additionally,
I’ve worked with technologies like pyperclip, Flet for
building interfaces, and I have experience developing
interactive assistants based on voice commands.
CONTACT My projects include automating tasks on websites,
developing personal assistants for managing contacts, and
tools for data scraping. I am always open to learning new
[открыть контакты](см. выше в блоке «контактная информация»)
technologies and eager to enhance my knowledge in
[открыть контакты](см. выше в блоке «контактная информация») machine learning and neural network development.

COURSES
Хмельницький
University of Michigan PFE101
Програмування для всіх: основи Python
github.com/ua-Slash-ua
University of Michigan PDS101
Python: Структури даних
EXPERTISE GoIT
PythonCore 2.0
Web Scraping

WEB automation SKILLS
GUI app
Python Algorithmic Problem Solving
Telegram bot
67 % 75 %
Voice Assistant Web Scraping Desktop Applications
Git 84 % 70 %
Automation Voice Command Applications
LANGUAGE 93 % 76 %
OOP Telegram Bot Development
English (pre-intermediate)
80 % 78 %
Українська (native) API Integration Development Tools
73 % 86 %
Data Handlin Debugging and Testing
78 % 50 %
Machine Learning S.O.L.I.D
20 % 85 %
More details on the next page
 MORE DETAILS ABOUT
SKILLS

Web Scraping: BeautifulSoup,
Requests, Selenium
Automation: Developing scripts for
automating tasks on websites and
desktop applications, including
authentication and interaction with
web platforms
Telegram Bot Development: Built PROJECTS
and deployed bots for automated
"NoteBook"
interactions and services Development of a web application for managing notes using the
API Integration: Working with various Flet library. The project provides an intuitive interface for creating,
APIs to fetch and manipulate data viewing, and deleting notes. Users can easily add new notes, view
Data Handling: JSON, CSV, XML, them in a list, and remove unwanted items. The application
supports dynamic interface updates, ensuring an interactive and
Pickle, serialization/deserialization
seamless user experience.
Algorithmic Problem Solving:
"Weather " Application
Tackled challenges on Project Euler, Development of a weather application that allows users to
sharpening problem-solving and search for and view weather information for different cities. The
mathematical skills app features a user-friendly interface for entering city names and
Desktop Applications: Creating GUI displaying weather data. It provides real-time updates and handles
applications using Flet, py2app, invalid inputs gracefully, offering a seamless user experience.

PyInstaller
Personal Assistant for NatashaClub
Voice Command Applications:
Developed a web application for automating interactions with
SpeechRecognition, pyttsx3 the NatashaClub platform. The application includes functionality
OOP: Proficient in object-oriented for processing user profiles, sending likes, messages, and
programming principles managing ignore lists. Integrated with APIs to retrieve profile
Development Tools: PyCharm, Git, information and support for bulk messaging and managing
constraints. The user interface is built using the Flet library for
version control systems
Python, ensuring easy navigation and management through tabs
Debugging and Testing: Experience and dialogs.
with code refactoring, debugging tools, Project Euler
and ensuring code quality Development of algorithmic solutions for complex mathematical
Machine Learning (beginner): problems presented on Project Euler. This project focuses on
Exploring neural networks, learning optimizing problem-solving strategies through Python. By solving
basic concepts of machine learning challenges involving number theory, combinatorics, and dynamic
programming, it helped improve skills in algorithm design,
SOLID Principles: Applying SOLID
mathematical modeling, and efficient code execution. Each
principles for better code design and problem is approached with performance optimization in mind,
maintainability honing the ability to tackle computationally intensive tasks.

Voice Assistant
Developed a voice-controlled assistant using Python and Flet,
designed to start automatically when the PC boots and run as a
standalone .exe file. The project features speech recognition for
processing and executing user commands, with a dynamic
interface displaying command history and status updates. Users
can control the assistant through a simple button to start and stop
voice recognition. The assistant enhances user interaction by
enabling hands-free operation for various tasks and information
retrieval.