Anastasiia

ANASTASIIA TRAKALO
PROFESSIONAL SUMMARY
Computer Science graduate with a strong analytical mindset and hands-on experience in data analysis,
reporting, and full-cycle project implementation. Skilled in SQL, Python, with the ability to structure and
interpret data, support business processes, and communicate insights clearly. Fluent in English (C1), highly
organized, and adaptable to dynamic and international environments. Open to entry-level roles in analytics,
operations, coordination, or business support where problem-solving, communication, and structured
thinking are valued.

CONTACT
Phone: [відкрити контакти](див. вище в блоці «контактна інформація») Location: Kyiv, Ukraine
Email: [відкрити контакти](див. вище в блоці «контактна інформація») LinkedIn: [відкрити контакти](див. вище в блоці «контактна інформація»)

PROJECTS
Hybrid Book Recommendation System (Thesis Project) | Feb 2025 - Jun 2025

Developed a full-stack hybrid book recommendation website:
Cleaned and processed a dataset of books and user ratings
Built a hybrid recommendation engine combining Neural Collaborative Filtering (PyTorch) with
BERT-based content filtering
Implemented a user interface with Flask, JavaScript, and CSS, including live rating updates
Delivered personalized, real-time recommendations via weighted score fusion
Key skills: data analysis, recommendation systems, user behavior analytics, Python, SQL, Flask, Git

ACADEMIC HISTORY
Taras Shevchenko National University | 2021 - 2025
B.Sc. in Computer Science

Projector Institute | Jun 2023 - Sep 2023
Python Beginning Course

AWARDS LANGUAGES
Microsoft AI Ambassador, Finalist of Alice Envisions Ukrainian - Native
English - Advanced (C1 CEFR)
the Future | 2018
Microsoft

HMC Projects Scholar | 2019 - 2021
Sutton Valence School
IELTS | 2020
British Council
Overall Band Score: 8.0 / 9.0

SKILLS
Programming & Tools: Python, SQL (PostgreSQL, SQLite), Git, HTML/CSS, JavaScript
Libraries & Frameworks: Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Matplotlib, Flask
Algorithms: Supervised and unsupervised learning, regression, classification, clustering, deep learning,
NLP, computer vision
Tools: Google Workspace, Microsoft Office, Figma, Canva
Soft Skills: Attention to detail, adaptability, proactive learning, strong written and verbal communication