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.
[відкрити контакти](див. вище в блоці «контактна інформація») EDUCATION
LinkedIn / GitHub:
Ivan Franko National University of Lviv | 2023 - 2027
https://github.com/Gl0f
Faculty of Applied Mathematics and Informatics
[відкрити контакти](див. вище в блоці «контактна інформація»)
Bachelor’s Degree in System Analysis | Currently in the 3rd year
myr-bovtach-444a82433
EXPERIENCE & PROJECTS
CORE SKILLS
Programming: Python, C++, RightWheel - Automotive Marketplace and Reference Platform
C#, SQL, NoSQL Co-founder / Technical Lead
• Designed and developed the architecture of a web application from
Data Analysis: Statistical
scratch in collaboration with a project partner.
modeling, regression
analysis, numerical • Set up interaction with relational databases, including PostgreSQL, and
optimization, graph managed development using Git and GitHub.
algorithms, visualization • Participated in idea generation, UI/UX design, and development of the
platform’s core logic.
Technologies: Flutter,
Firebase, Appwrite, • Contributed to a user-oriented product focused on car search,
PostgreSQL comparison, and automotive market information.
Tools: Git/GitHub, VS Code, Analytical System for the Secondary Car Market
Wireshark Data Analyst / Researcher - Academic Research Project
Platforms: Android, iOS, • Collected and analyzed data from the European automotive market to
Windows identify structural patterns and key pricing factors.
Other: Manual testing, basic • Developed a prototype car price estimation calculator using OLS and
UI/UX, CRM systems Ridge Regression.
• Applied K-Means clustering to segment the market and improve
LANGUAGES analytical interpretation.
Ukrainian - Native • Used Python for data processing, mathematical modeling, visualization,
English - Upper-Intermediate and model quality assessment.
(B1+/B2) ADDITIONAL STRENGTHS
INTERESTS • Quickly learn new technologies and independently find non-standard
Software Engineering technical solutions.
Data Analysis • Confident user of modern collaboration tools and development
environments.
Data Scientist
• Communicate effectively within a team and clearly justify technical
QA Engineer
decisions.
Full-stack Developer
Back-end Developer