Дмитрий

DMITRY KURILKO
D A T A S C I E N T I S T
M A C H I N E
L E A R N I N G

[открыть контакты](см. выше в блоке «контактная информация»)

[открыть контакты](см. выше в блоке «контактная информация»)
PROFILE
I am a Machine Learning&Data Scientist engineer. I possess the ability to
Kharkiv learn quickly, am sociable, and excel at collaborative work. My skills include
strong creativity and analytical abilities. Always strive to learn and grow.
GitHub

SKILLS EXPERIENCE
FREELANCE
Python
2022
SQL Photoshop and video edition for customers from China, Turkey, Canada, South
America. Designed logos and promotional materials for billboards and web- sites
ML(sklearn, xgb, lgbm, pandas, Also I sometimes taking new non-complex on freelance and complete differ task
for analysis, prediction modeling with a help of ML and NLP
numpy, matplotlib, seaborn) techniques.
JAVA SCRIPT
API 2023
Created frontend part for 'Freelance community' and 'Marketing &
Scrapy, bs4, selenium, requests Business Department' website.
Tools: Auto-Animate, Type script, React.js HTML, CSS, SCSS,
JavaScript CHANGELOG, Angular
DATA SCIENCE-ML
Angular, React.js
2024 - present time
Project: Automated news analysis and to forecasting Telegram bot

LANGUAGE Built a custom web scraper to collect news, and parsed economic calendar
events filtered by USD-related impact.
English: Intermidiate B1 Tools: requests, BeautifulSoup, Selenium, pandas
Ukrainian - Native Exported and structured data in CSV format for further analysis.
Developed a Telegram bot that delivered real-time news updates and
EDUCATION forecasts.
JUNIOR SPECIALIST
Designed and trained two machine learning models to predict short-term
COMPUTER ENGINEER
Kharkiv Radio Engineering College movements using historical OHLCV data
2017-2021 Project Vendr Scraper
2025
BACHELOR OF This project is a custom web scraper designed to extract structured data from the
DEGREE DIGITAL
Vendr website. It focuses on gathering information across several software
Ukrainian Engineering and
categories such as DevOps, IT Infrastructure, and Data Analytics & Management.
Pedagogical Academy
Using Python and powerful libraries like BeautifulSoup, requests, and pandas, the
2022-2024
scraper navigates the site's structure, targeting specific CSS selectors and HTML

MASTER OF class names to extract relevant content accurately. The scraped data is then
DEGREE DIGITAL cleaned, structured, and saved for further use — for example, analytics or
V. N. Karazin Kharkiv National integration into larger workflows.
University The project reflects hands-on experience with real-world scraping challenges, such
2024-2025 as dealing with dynamic layouts and ensuring data consistency across categories.