Open to opportunities

Kseniya User

@kseniyauser

Message

I am a motivated Data Science graduate skilled in Python, R, SQL, and applied machine learning.

Poland

Message

What I'm looking for

I am seeking a challenging Data Science role to apply Python, ML, and SQL skills on real-world projects, contribute to project implementation, and grow within a collaborative, data-driven team.

I am a motivated Data Science graduate with a Master’s in Data Science and a Bachelor’s in Information Systems and Technologies. I combine practical experience in Python, R and SQL with coursework in econometrics, IT programming (C++) and database concepts.

I created a custom dataset and used unsupervised ML (hierarchical clustering and K-means) to analyze the economic cost of violence, presented results with Python visualization libraries, and completed a 140-hour EPAM Data Software Engineering course. I am eager to apply my analytical and IT experience to implement new projects in a collaborative, data-driven environment.

Experience

Work history, roles, and key accomplishments

Data Science Master's Student

Uniwersytet Marii Curie-Skłodowskiej w Lublinie

Oct 2023 - Jul 2025 (1 year 9 months)

Completed a Master's programme in Data Science covering machine learning, econometrics, Python and R; executed analytical projects translating statistical methods into business-relevant insights.

Python R Machine Learning Econometrics SQL Data Visualization Pandas scikit learn

Bachelor in Information Systems

Belarussian State University of Informatics and Radioelectro

Jan 2018 - Jan 2023 (5 years)

Earned a Bachelor's in Information Systems and Technologies with coursework and projects in C++, Python, and SQL that built core software and data engineering skills.

C#Python SQL Information Systems Software Development Databases Data Analysis

Data Software Engineering Course

EPAM Learn

Completed a 140-hour self-paced Data Software Engineering course covering Python, data warehouse concepts, SQL for analytics, Git, CI/CD and SDLC methodologies.

Python DWH SQL Git CI CD SDLC Databases

Independent Data Science Project

Personal Project

Created a custom cross-country dataset and applied hierarchical and K-means clustering to analyze how the economic cost of violence affects global well-being, visualizing results with Python libraries.