Yevhenii
Резюме Engineer – 400 $
1 ч.Киев
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- Образованиенеполное высшее
- Опыт работыдо 1 года
- Тип работылюбая
- Вид занятостилюбой
Цель: My goal is to find a good job in which there will be professional development that does not interfere with education
Профессиональные навыки
Образование
неполное высшее
Повышение квалификации
Тренінг GoIT з машинного навчання та обробки даннихИсходный текст
Yevhenii ********
PYTHON DATA SCIENCE AND MACHINE LEARNING
ENGINEER
Показать контакты | https://github.com/Zheka-GGS |
www.linkedin.com/in/yevhenii-********
| Tbilisi, Georgia
SUMMARY
Junior Python Developer with hands-on experience in Data Science and Machine Learning. Successfully completed the
“Python Data Science and Machine Learning” program at GoIT and independently developed several end-to-end
projects, including a Customer Churn Prediction system (Random Forest / XGBoost, Streamlit interface, Docker), a
CIFAR-10 image classifier with custom CNN and VGG16 transfer learning.
HARD SKILLS
:
Programming Languages
: Python (1+ year), C# (6 months)
Data Science & Machine Learning
: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Supervised Learning (Regression &
Classification), Model Evaluation, Feature Engineering, Data Preprocessing and Visualization
Databases
: SQL, Database Integration
Web Development
: HTML, CSS, JavaScript (basics)
Other Technologies
: Aiogram (Telegram Bot Framework), RESTful API Integration, Git basics
Tools
: Jupyter Notebook, Python virtual environments
Languages
:
English — Intermediate B
1
Ukrainian — Native
Russian — C2
Polish — C1
PROJECT
EXPERIENTS
Telegram Bot (Personal Project)
2026
Developed a fully functional Telegram bot using Python and the Aiogram framework, ensuring high performance and
scalability through asynchronous architecture.
Integrated a robust SQL-based database for efficient data storage, retrieval, and user state management, along with
seamless connections to external APIs for dynamic data processing.
Designed and implemented multiple interactive
features, including command handling, user-friendly workflows, and real-time responses, while also documenting
architectural decisions and outlining clear pathways for future scaling and feature expansion.
GitHub: https://github.com/Zheka-GGS/Telegram-bot
EDUCATION
:
IT School GoIT
Python Data Science and Machine Learning
2025
.12
–
2026
.05
Interregional Academy of Personnel Management
Cybersecurity
(!)
2025
.09
—
2030.06
Customer-Churn-Prediction
2026
Developed an end-to-end machine learning system to predict customer churn for an internet service provider. The
goal was to identify high-risk customers early and support data-driven retention strategies.
Built and compared multiple classification models (Logistic Regression, Random Forest, XGBoost) on a real-world
dataset of ~1,000 customers with 9 behavioral and service-related features.
Achieved ROC-******** and F*********.74 with the selected Random Forest model.
Created a production-ready Streamlit web application that allows users to input customer data and receive real-time
churn probability with risk level (Low / Medium / High).
GitHub: https://github.com/Zheka-GGS/Customer-Churn-Prediction