Open to internship opportunities

Yaroslav
Khomko

> IT Intern / Trainee Candidate — Python · Data · Backend

Computer Science and Econometrics student at AGH University in Kraków. I build analytical tools, explore machine learning, and write practical backend code — looking for a position where I can grow alongside experienced developers.

6+ Programming
languages
4 GitHub
projects
4 Spoken
languages
2+ Years of
CS study
Yaroslav Khomko

Software development,
data and machine learning

I'm a Computer Science and Econometrics student at AGH University in Kraków, interested in software development, data analysis and machine learning. I'm looking for an internship or trainee position where I can develop practical engineering skills, work on real projects and learn from experienced developers.

I have experience with Python, Java, SQL, Git and academic team projects that combine programming, data and business-oriented analysis. I enjoy connecting code to real problems.

Python Data Analysis Machine Learning Backend Dev Econometrics

What I work with

Python Proficient · 78%
Git & GitHub Proficient · 80%
SQL Intermediate · 68%
Data Analysis Intermediate · 72%
Java Familiar · 62%
R & Statistics Familiar · 64%
Machine Learning Familiar · 58%
HTML / CSS / JS Familiar · 60%
Also:
pandas NumPy matplotlib C# C/C++ ASP.NET Linux Tkinter MkDocs RStudio

Selected work

Stock Data Analysis App

Python · Tkinter · pandas · matplotlib

Desktop application for stock data analysis with a GUI. Includes statistical analysis, linear regression, Bollinger Bands and data visualisation. Combines programming, financial data processing and analytical interpretation.

View on GitHub →

News Sentiment Analysis

Python · NLP · sentiment scoring

Proof of concept for analysing financial news headlines and estimating sentiment. Scoring mechanism based on sentiment, source reliability and recency — generates buy / observe / sell signals from aggregated news scores.

View on GitHub →

Bitcoin Price Prediction

Python · NumPy · pandas · matplotlib

Regression models for predicting Bitcoin closing price from historical financial data. Implemented linear regression, k-NN and a simple neural network from scratch, without high-level ML libraries. Evaluated with MSE, RMSE, MAE and MAPE metrics.

View on GitHub →

C# OOP Application

C# · OOP · Git

Academic C# application focused on object-oriented programming principles, including class design, object relationships and core application logic. Applied encapsulation, inheritance, polymorphism and modular code organisation throughout the project.

View on GitHub →

Background & involvement

2024 — present

AGH University of Science and Technology

Computer Science and Econometrics

Faculty of Management · Kraków, Poland

2026 — present

KN Mentor — Student Research Club

Member

Participation in student projects focused on technology, data analysis and practical problem solving. Team cooperation, project communication, and work on software and data-driven business applications.

Let's connect

Open to IT internship and trainee opportunities. Available for collaborative projects and conversations about tech, data and backend development.