Юлія

YULIIA BOBROVYTSKA

Netherlands, Breda | [open contact info](look above in the "contact info" section) | [open contact info](look above in the "contact info" section)

PROFILE
Results-driven data scientist with strong expertise in statistical modeling, machine learning, and AI-driven solutions. Experienced
in Python/R programming, big data pipelines, and financial risk analytics. Passionate about applying data science to solve complex
real-world problems in finance and multidisciplinary domains.

EDUCATION
Breda University of Applied Sciences
Bachelor of Data Science and Artificial Intelligence (Sep 2022 – July 2026), graduated cum laude

• GPA: 9.2/10 overall (propaedeutic year: 4.0/4.0)

• Relevant Coursework: Machine Learning, Python, Deep Learning, Computer Vision, AI Ethics, Predictive Analytics,
MLOps, Natural Language Processing, Computer Vision for Robotics, Reinforcement Learning, Digital Transformation,
Responsible AI, LLMs
Sumy State Pedagogical University named after A.S. Makarenko (Ukraine)
Bachelor of Secondary Education (Math and Informatics) (Sep 2022 – July 2026), graduated cum laude
• Relevant Coursework: Mathematical Analysis, Linear Algebra, Analytical Geometry, Probability Theory and
Mathematical Statistics, Programming (R language), Elementary Mathematics, Psychology, Philosophy, History and
Culture of Ukraine, Heuristics, Practicum in Solving Problems of School Mathematics Course
Utrecht University
Master of Applied Data Science (Sep 2026 – Expected July 2027)

EXPERIENCE
Data Engineer - Graduation Project (Full time)
Ortec Finance (Feb 2026 – Jul 2026)

• Financial risk modeling and predictive analytics using Python and statistical techniques

Data Scientist (Full time)
Rabobank Utrecht (Sep 2025 – Aug 2026)
• Python (core programming for modeling)
• SQL (data querying and ETL processes)
• PySpark/Databricks (big data processing)
• Machine Learning model development/maintenance (supervised/unsupervised techniques)
• Modeling, data analysis and visualization
• Building robust data pipelines

Hospitality Employee (Part-time)
Cookaholics, De Koepel, Breda (Apr 2022 – Apr 2026)
• Prepared and served breakfast, lunch and dinner at the food court, ensuring guests were helped efficiently and in
accordance with HACCP guidelines
• Prepared soups, salads and desserts
• Acted as a communication link between management and the Ukrainian team, assisting with translations and ensuring
issues were clearly communicated and followed up
AI Specialist (Remote)
Ukrainian Tech Company (6 months)
• Developed and optimized AI-driven solutions for real-world applications.

• Implemented object detection models to enhance accuracy and efficiency.

• Collaborated with a cross-functional team to improve AI performance.
Big Data Hackathon 2023
United Nations Committee of Experts on Big Data and Data Science

• Led a team in developing a problem statement and research question.

• Conducted Power BI analysis and proposed a theoretical solution.
AI-Driven Viewer Rating Analysis
Banijay Benelux Group (Amsterdam)

• Analyzed the influence of Twitter engagement on viewer ratings.

• Developed machine learning models to extract insights from social media data.

SKILLS

• Programming: Python, R, LangChain

• Machine Learning & AI: Predictive Analytics, Deep Learning, Natural Language Processing, Reinforcement Learning,
Computer Vision, MLOps, LLMs

• Data Science & Engineering: Pandas, NumPy, SciKit Learn, TensorFlow, Data Governance, Agile Project Management

• Business Intelligence: Power BI, Digital Transformation & Change Management

• Soft Skills: Teamwork, Project Management, Public Speaking, Stakeholder Management

LANGUAGES

• Ukrainian: Native • Dutch: B1 (NT2 Certificaat)

• Russian: Native • German: A2 (Goethe-Zertifikat)

• English: C1 (IELTS: 7.0)

CONTACT

Email: [open contact info](look above in the "contact info" section)
Phone: [open contact info](look above in the "contact info" section)
Location: Breda, Netherlands