Работал в 1 компании 1 год
Образование
Студент
Національний університет Львівська політехніка
Образование
1 год
02.2025 - по настоящее время
- The project task was to predict calories by creating and comparing regression models, classification, and ensemble methods, including Linear Regression, Decision Tree, and Random Forest. Grid search was used to optimize the hyperparameters of the models.
- The goal of this project was to uncover hidden patterns in data through clustering, using PCA for efficient dimensionality reduction and visualization. I developed models and compared the results of K-Means and DBSCAN models before and after PCA.
- Implemented a fuzzy logic control model in Python using NumPy, scikit-fuzzy and Matplotlib to simulate human-like decision-making under uncertainty. Defined membership functions, linguistic variables, and Mamdani inference rules to compute and visualize system outputs through defuzzification.
- Developed a single-layer Perceptron model in Python to perform binary classification on linearly separable data. Implemented using PyTorch, NumPy, Matplotlib, and scikit-learn for data generation, preprocessing, and visualization. The model incorporated activation functions (ReLU, Sigmoid) to explore non-linear transformations and demonstrated weight optimization, bias adjustment, and decision boundary formation during the training process.
- Processed and analyzed text data using NLTK, datasets, and NumPy, performing tokenization, stop-word removal, and word embeddings generation with GloVe, followed by cosine similarity calculations to evaluate semantic relationships between words. 6.Developed an image classification system in Python utilizing PyTorch and torchvision with a transfer learning approach. The project employed pre-trained (ResNet, VGG), where initial layers were frozen and a custom classifier head was constructed. Training optimization was performed using Adam.
Ключевая информация
Languages: Python, sql, c /c++
Tech stack - activily used: vscode, visual studio, jupyterNootebook (anaconda), pycharm, mssql, mysql
Familiar: docker, git, mongodb
Business
modeling: understanding of business logic, workflows, and system structure
Учился в 1 заведении
Lviv polytechnic
Computer science (smart systems and computational intelligence)
2026
Владеет языками
Английский
средний
Украинский
родной
Курсы, тренинги, сертификаты
Cisco Certification - CCNAv7: Introduction to Networks
IT STEP Academy - Software Development
Дополнительная информация
Власний досвід
Database Fundamentals (Lviv Polytechnic, 2023)
- Completed academic course on relational databases using MSSQL.
- Independently developed small projects with MySQLand MongoDB for personal assignments.
Lviv Polytechnic National University
Course project -Theories & Methods of Computational Intelligence | Feb – Jun 2025
- Gained hands-on experience with regression, classification, and clustering techniques using scikit-learn, pandas, numpy, seaborn and another libs.
- Built and trained perceptron and multilayer perceptron (MLP) models with TensorFlow
- Developed and evaluated basic convolutional neural networks (CNN) for image recognition.
- Studied Transformer architecture and its application in NLP. Explored fundamentals of reinforcement learning (RL) using OpenAI Gym environments.
- Preprocessed English text corpora: tokenization, stop-word removal, normalization.
Lviv Polytechnic – Information Systems Design
- Engineered a information system tailored to business and user specifications, utilizing modeling tools such as UML, DFD, IDEF0/IDEF3, AllFusion Process Modeler, and ERwin.
Nazar Mykolayovych
Nazar Mykolayovych
Data scientist
Львов
Активно ищет работу
полная занятость, неполная занятость, проектная работа
Характер работы: стажировка / практика, удаленная работа, посменная работа, гибридная, в офисе/на месте
Обновлено 1 неделю назад