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Data annotator
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Data Annotator
• Zaporizhzhia, Ukraine • [
SUMMARY
Software Engineering student with a strong interest in AI and Machine Learning. Have some hands-
on experience with data annotation through personal projects, and eager to gain practical
experience by contributing to real-world AI projects as part of a professional team.
PROJECTS
Machine Learning Notebook Collection
Developed multiple end-to-end ML projects covering classification, regression and
clustering tasks using real-world datasets.
Techniques applied: data cleaning, encoding, class balancing using pandas and imblearn,
normalization, cross-validation and hyperparameter tuning with GridSearchCV and
RandomizedSearchCV.
Models implemented via scikit-learn: Linear Regression, Logistic Regression, Random
Forest, KNN, SVM, XGBoost and other classical ML algorithms.
Followed a structured ML workflow: EDA, preprocessing, modeling, evaluation, conclusion.
Animals Detection Pipeline Using CV + NLP
Annotated named entities in text descriptions using Label Studio for NER tasks, ensuring
high-quality labeled data for model training.
Fine-tuned a pre-trained DistilBERT model using Hugging Face Transformers to extract
animal entities from text descriptions.
Built a multimodal pipeline combining Computer Vision and NLP models.
EDUCATION
Bachelor of Software Engineering 2023 – present
Zaporizhzhia National University
ADDITIONAL INFORMATION
Annotation Tools: Label Studio
Programming & Tools: Python, Git
Languages: Ukrainian (Native), English (B2)
Personal Qualities: Attention to detail, responsibility, teamwork
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