Марта

Marta Hrudzynska

Contacts:
[відкрити контакти](див. вище в блоці «контактна інформація») https://github.com/MartaHrudzynska
[відкрити контакти](див. вище в блоці «контактна інформація») [відкрити контакти](див. вище в блоці «контактна інформація»)
Lviv, Ukraine 4683a0364

Data Science student with hands-on experience in machine learning, NLP, model evaluation,
and AI technologies. Familiar with supervised and unsupervised learning, RAG systems, and AI
agent development. Seeking a Data Science internship or Trainee position to apply technical
skills to real-world projects and grow within a professional team.

Hard skills:
Programming: Python (Pandas, NumPy, Scikit-learn)
Machine Learning: Regression, Classification, Clustering, Feature Engineering, Model Evaluation
Deep Learning & NLP: TensorFlow, Keras, Hugging Face, Transformers
Generative AI: RAG, Embeddings, Vector Databases, Prompt Engineering, LangChain (Basic)
Data & Databases: SQL, PostgreSQL, Data Analysis, Data Visualization (Matplotlib, Seaborn)
Tools: Jupyter Notebook, Git, GitHub

Education:
09.2026 - 06.2028 System Analysis and Data Science
Lviv Polytechnic National University
09.2022 - 06.2026 System Analysis (Data Science)
Lviv Polytechnic National University
2025 Advanced Python for data science & machine learning
SofrServe Academy

Practical experience:
01.2026-06.2026 Forecasting-the-effectiveness-of-sports-training
Developed a machine learning model to predict sports training
performance based on training and athlete-related data. Performed
data preprocessing, exploratory data analysis, feature engineering,
and model evaluation.

10.2025 – 12.2025 Fake Ukrainian News Recognition
Developed an NLP-based machine learning solution for detecting
potentially fake Ukrainian news. Performed text preprocessing, feature
extraction, model training, and evaluation.

04.2025 – 06.2026 Data Scientists' Salaries Prediction
Built a machine learning model to predict Data Scientists' salaries
based on job-related features. Conducted data analysis,
preprocessing, feature engineering, model comparison, and
evaluation.

09.2025-12.2025 Military Equipment Recognition
Developed a machine learning model to predict sports training
performance based on training and athlete-related data. Performed
data preprocessing, exploratory data analysis, feature engineering,
and model evaluation.

Soft skills:
Analytical thinking
Ability to work in a team and independently
Constant pursuit of learning and development
Responsibility
Organization skills

Languages
Ukrainian (native)
English (B2)

Series DA № 25877/2025

Click to verify

Is issued to certify that

Marta Hrudzynska
has successfully completed SoftServe Academy course

ADVANCED PYTHON FOR DATA SCIENCE & MACHINE LEARNING

Harry Propper
CEO, SoftServe Inc.
August 15, 2025