Vladyslav

Vladyslav Tyzhbiriak
Poland, Warsaw, Brazylijska 14A
[open contact info](look above in the "contact info" section) | [open contact info](look above in the "contact info" section)

Personal Details

Date of Birth : 28/08/2001
Marital Status : Single
Nationality : Ukrainian
Gender : Male

Objective

As an experienced Python Developer with expertise in PostgreSQL, Python, JavaScript, HTML, CSS, Django,
Django Rest Frameworks, Celery, Git, Docker, Pandas, TensorFlow, Keras, Matplotlib, Excel, NumPy, and
Scikit�learn, my objective is to leverage my skills and experience to develop innovative and efficient solutions that
meet customer needs. I am seeking a challenging role that allows me to apply my skills and contribute to a
dynamic team. My objective is to work collaboratively with other developers, designers, and stakeholders to
create software that not only meets but exceeds expectations. I am dedicated to continuous learning and
professional development, and I am committed to staying up-to-date with the latest technologies and best
practices in software development.

Experience

Kontakt 04.2021 - 09.2021
Intern
Completed an internship at a furniture company, specializing in utilizing Python and PostgreSQL.
Developed and optimized a database for storing information on furniture products, orders, clients, and suppliers
using PostgreSQL.
Automated routine tasks by creating Python scripts and applications, such as data import/export, sales
reporting, and delivery notifications.
Implemented inventory management system to track furniture components and materials, including inventory
level monitoring and low stock alerts.
Conducted data analysis and reporting on sales, customer insights, and production processes using Python
and SQL.
Optimized database queries and performance using PostgreSQL features such as indexes and materialized
views.

Working on my projects and self-development: -

1. Project: Image recognition using neural networks.
Description: I developed a machine learning model using TensorFlow and Keras to classify images based on
their content. I used a dataset with labeled images and trained the model on this dataset. Then, i tested the
model on new images to assess its accuracy and its ability to correctly classify images.

2. Project: Real estate price prediction.
Description: I utilized a dataset containing information about real estate, such as area, number of rooms,
geographical location, and other factors. Using the Scikit-learn library and regression methods like linear
regression or random forest, i developed a model to predict real estate prices based on the available data. This
allowed you to predict prices for new properties based on their characteristics.

3. Project on Development of Recommender System Using Neural Networks.
Description: In this project, I developed a recommender system using neural networks. The aim of the project
was to provide personalized movie recommendations to users based on their preferences and previous ratings.
To achieve this goal, I utilized TensorFlow, an open-source platform for developing deep neural networks.

4. Implemented a sentiment analysis model using Python and Scikit-learn for analyzing social media data.
 Description: I developed a sentiment analysis model using Python and Scikit-learn to analyze the sentiment
expressed in social media data. By training the model on labeled data, I was able to classify social media posts
or comments as positive, negative, or neutral.

5. Built an image generation system.
Description: I created an image generation system utilizing Python, TensorFlow, and Generative Adversarial
Networks (GANs) to generate realistic and high-quality cartoon-style faces. By training the GAN model on a
dataset of cartoon images, I enabled the system to generate new images with similar styles and
characteristics.

6. Developed an AI chatbot.
Description: I created an AI-powered chatbot using Python, TensorFlow, Pandas, and Excel. The chatbot utilized
a sequence-to-sequence model with an attention mechanism, allowing it to understand customer queries and
provide accurate responses. By leveraging natural language processing and machine learning, the chatbot
automated customer service tasks, such as answering frequently asked questions, providing product
information, and handling basic support requests.

7. Tourism Website (Python, Django, PostgreSQL):
Developed an engaging tourism website using Django for backend construction and PostgreSQL for data
management. The site offers information about various travel destinations and allows users to plan their trips.

8. Music Website (Python, Django, React, PostgreSQL):
Created an interactive music website that combines Django for data handling and React for dynamic frontend.
Users can search and listen to a variety of music tracks, as well as read news from the music industry.

9. E-commerce Store (Python, Django, PostgreSQL):
Designed an online store using Django, enabling users to browse and purchase products. Implemented a
shopping cart for adding items and a system to manage orders.

10. Online Learning Platform (Python, Django, React, PostgreSQL):
Developed a web service allowing users to learn various subjects and skills. Employed Django and React to
create courses, materials, and facilitate student interaction.
Education

Krivorizka Gymnasium No. 91 2008-2019

University Jan Kochanowski Kielce 2019-2022
Management

Coursera, DeepLearning.AI, Stanford University 01.2023 - 02.2023
Machine learning

Skills

Strong proficiency in Python programming language;
Proficient in Django web framework and Django Rest Frameworks;
Knowledgeable in web development technologies such as HTML, CSS, JavaScript, and a little bit of react;
Experience working with Pandas, TensorFlow, Keras, Matplotlib, Excel, NumPy, and Scikit-learn for data analysis
and machine learning tasks;
Knowledgeable in PostgreSQL database management;
Familiarity with Celery task queue;
Experience with Docker containerization technology;
Proficient in version control using Git;
Familiarity with Agile development methodologies;
Proficient in AWS (Amazon Web Services) cloud services, specifically AWS EC2 (Elastic Compute Cloud);
Strong problem-solving skills and ability to work collaboratively in a team environment;
Excellent communication skills.

Projects
 Website project:
https://github.com/Vlad-tg/music_app.git

https://github.com/Vlad-tg/eris_store.git

Machine learning projects:
https://github.com/Vlad-tg/recommendation_system.git

https://github.com/Vlad-tg/ai_chat_bot.git
Interests

Artificial intelligence and machine learning;
Web development and design;
Data analysis and visualization;
Technology and innovation;
Travel and exploring new cultures;
Sports.

Activities

Playing sports(basketball, football);
Web development.
Outdoor recreation.
Solving puzzles.
Listen to music.

Languages

English - upper-intermediate
Japanese - begginer
Ukrainian - native
Polish - advanced
Russian - advanced