Володимир

Volodymyr Vasyliev
Data Analyst
Odesa, Ukraine | [відкрити контакти](див. вище в блоці «контактна інформація») | Remote / Open to Relocation

PROFESSIONAL SUMMARY
Detail-oriented Data Analyst with hands-on experience in data annotation, quality control, and dataset structuring for machine learning systems. Combines a strong foundation in full-stack development with analytical thinking to interpret complex datasets, identify patterns, and deliver actionable insights. Proficient in building and validating structured datasets for NLP and computer vision models, with a keen understanding of how data quality directly impacts AI model performance.
WORK EXPERIENCE
Data Analyst / Data Annotator · Keymakr Data Labeling
May 2025 – Present | Remote
• Annotated and labeled datasets for training large language models (LLMs) and computer vision systems, ensuring high precision and consistency across thousands of records.
• Structured and classified text, road signs, and traffic movement data to build robust training datasets for AI systems.
• Performed quality control and validation of annotated data, identifying and correcting inconsistencies to maintain dataset integrity.
• Collaborated with ML teams to understand annotation guidelines and iteratively improve labeling accuracy based on model feedback.
• Analyzed patterns in raw data to develop annotation schemas that improved model recognition rates for real-world environments.
• Documented annotation processes and created guidelines to ensure consistency across team workflows.

Junior Full-Stack Developer · Self-directed / Freelance
2023 – 2025 | Remote
• Developed and maintained web applications using modern JavaScript frameworks, gaining practical experience with data handling and API integrations.
• Worked with databases (SQL/NoSQL) to query, transform, and present structured data for end users.
• Built data-driven UI components and dashboards, translating raw data into clear, actionable visualizations.
• Participated in code reviews and collaborative development, strengthening analytical problem-solving skills.
SKILLS & TOOLS

Data & Analytics
Data annotation, Data labeling, Quality assurance, Dataset structuring, Pattern recognition
AI / ML Knowledge
NLP datasets, Computer vision, LLM training data, Model feedback analysis
Development
JavaScript, HTML/CSS, REST APIs, Git, SQL, NoSQL (MongoDB)
Tools
Google Sheets / Excel, VS Code, GitHub, JSON, CSV data formats
Soft Skills
Attention to detail, Analytical thinking, Documentation, Team collaboration, Remote work
EDUCATION
Full-Stack Web Development · Professional Development Course
2023 – 2024 | Certificate
• Completed intensive training in frontend and backend development, databases, and software engineering fundamentals.
KEY ACHIEVEMENTS
• Maintained consistently high annotation accuracy scores across diverse data types including text, imagery, and behavioral patterns.
• Contributed to datasets used in production-grade AI models for object detection and natural language understanding.
• Developed a systematic approach to annotating edge cases, reducing error rates and improving model generalization.
• Successfully transitioned technical development skills into data-focused analytical work within the ML/AI domain.