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YURII CERTIFICATIONS

POLULIKH
COMPLETE 2022 DATA SCIENCE &
MACHINE LEARNING BOOTCAMP
Udemy certificate url.

NEURAL NETWORKS AND DEEP LEARNING
Coursera certificate url.

IMPROVING DEEP NEURAL NETWORKS: HYPERPARAMETER TUNING,
I am currently focused on data science and have completed
various courses and projects. I’m modeling the spread of
REGULARIZATION AND OPTIMIZATION
Coursera certificate url.
tuberculosis in Ukraine under a teacher’s guidance, as it's a
critical issue here. I have experience in NLP, computer vision, INTRODUCTION TO TENSORFLOW FOR ARTIFICIAL INTELLIGENCE,
and databases (MySQL, MongoDB), and I've built a strong
MACHINE LEARNING, AND DEEP LEARNING
foundation in math, statistics, linear algebra, and OOP at
Coursera certificate url.
university. I actively participate in Kaggle competitions,
including a recent NLP challenge for Ukrainian, working on MACHINE LEARNING SPECIALISATION
information retrieval tasks. I’ve also worked on real-time
Coursera certificate url.
object detection and segmentation projects. I'm eager to keep
learning and gaining new experiences.

LANGUAGES PERSONAL PROJECTS

Ukrainian (Native)
GLASSES SEGMENTATION
English Developed a deep learning model based on U-Net architecture that achieves 99% accuracy
for eyeglasses segmentation in images. Applied data preprocessing and augmentation

PERSONAL INFORMATION techniques to improve the model's performance. Demonstrated expertise in image
segmentation using convolutional neural networks (CNNs) to accurately predict masks.
Achieved impressive results on the task with 99% program accuracy on the validation set.
Phone: [open contact info](look above in the "contact info" section)
Email: [open contact info](look above in the "contact info" section) INFORMATION RETRIVAL
Telegram: @yureeets
Participated in Kaggle, dedicated to Ukrainian-language texts, aimed at developing
LinkedIn
natural language processing (NLP) capabilities for this underrepresented language
GitHub
(Ukrainian). Developed and implemented algorithms for efficient information retrieval in
Kaggle
various datasets of Ukrainian news, Wikipedia articles and social media posts.

EDUCATION TICKET SELLING WEBSITE
A full-stack ticketing platform was created using Django for the backend and Django REST
LVIV POLYTECHNIC NATIONAL UNIVERSITY Framework (DRF) for API development. User authentication, ticketing functionality, and an

Bachelor in Computer Science (Artificial Inteligence Systems) admin panel were implemented. An adaptive interface was developed to ensure
2022 - Present uninterrupted user experience when viewing and purchasing tickets.

SKILLS AND KNOWLEDGE SPAM FILTER USING NAIVE BAYES CLASSIFIER
FRAMEWORKS AND LIBRARIES: Developed spam detection system using machine learning techniques and the
Numpy SpamAssassin public corpus. The project involved processing large sets of emails to train
Pandas models that accurately classify emails as spam or non-spam.
GeoPandas
Matplotlib
CAR DETECTION USING YOLO
Seaborn Developed a real-time car detection and counting system using YOLOv8, OpenCV. The
Scikit-learn system detects and tracks vehicles in a video feed, counts them as they cross a
Scipy predefined line, and visualizes the results with bounding boxes and labels.
NLTK
Spacy HANDWRITTEN DIGIT RECOGNITION
Tensorflow
Achieved 99.4% accuracy on the MNIST dataset through effective training and
OpenCV
optimization techniques using the LeNet convolutional neural network architecture.
Ultralystics
Django
Django REST framework

PROGRAMMING LANGUAGES:
Python
C ++
DATABASES:
MySQL
MongoDB