Володимир

VOLODYMYR
PROFESSIONAL PROFILE
BOVTACH Third-year System Analysis student seeking an opportunity for professional
Software Development & growth in software development or data analysis. Experienced in building
Data Analysis Student web projects from scratch, working with relational databases, and applying
mathematical modeling methods. Motivated to contribute to real business
CONTACT problem-solving by combining technical knowledge, analytical thinking, and
Lviv, Ukraine a strong willingness to learn.
[открыть контакты](см. выше в блоке «контактная информация») EDUCATION
LinkedIn / GitHub:
Ivan Franko National University of Lviv | 2023 - 2027
https://github.com/Gl0f
Faculty of Applied Mathematics and Informatics
CORE SKILLS Bachelor’s Degree in System Analysis | Currently in the 3rd year
Programming: Python, C++, EXPERIENCE & PROJECTS
C#, SQL, NoSQL
RightWheel - Automotive Marketplace and Reference Platform
Data Analysis: Statistical
Co-founder / Technical Lead
modeling, regression
analysis, numerical • Designed and developed the architecture of a web application from
optimization, graph scratch in collaboration with a project partner.
algorithms, visualization • Set up interaction with relational databases, including PostgreSQL, and
managed development using Git and GitHub.
Technologies: Flutter,
Firebase, Appwrite, • Participated in idea generation, UI/UX design, and development of the
PostgreSQL platform’s core logic.
• Contributed to a user-oriented product focused on car search,
Tools: Git/GitHub, VS Code,
comparison, and automotive market information.
Cursor, Wireshark
Platforms: Android, iOS, Analytical System for the Secondary Car Market
Windows Data Analyst / Researcher - Academic Research Project
Other: Manual testing, basic • Collected and analyzed data from the European automotive market to
UI/UX, CRM systems identify structural patterns and key pricing factors.
• Developed a prototype car price estimation calculator using OLS and
LANGUAGES Ridge Regression.
Ukrainian - Native • Applied K-Means clustering to segment the market and improve
English - Upper-Intermediate analytical interpretation.
(B1+/B2) • Used Python for data processing, mathematical modeling, visualization,
and model quality assessment.
INTERESTS
ADDITIONAL STRENGTHS
Software Engineering
Data Analysis • Quickly learn new technologies and independently find non-standard
technical solutions.
Data Scientist
• Confident user of modern collaboration tools and development
QA Engineer
environments.
Applied Mathematical
• Communicate effectively within a team and clearly justify technical
Modeling
decisions.