Юлія

Julia Matskiv EDUCATION

Junior Project Manager Bachelor’s degree in Information Systems and
Networks.
ulia.matskiv7​@gmail.com Lviv Polytechnic National University.
2024 – Present | Lviv
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Student at the Information Systems and Networks
Ukraine, Lviv department, specializing in IT Product Management.

SUMMARY SKILLS
Student majoring in IT Product Team Collaboration
Management & Business Analysis, eager
to join a dynamic product team. I have Creative Problem Solving
experience in developing a product from
scratch: from idea to business analysis Result Orientation
and marketing strategy. I won 2nd place
UI/UX Design & Figma
at BEST: Hackathon 2025, confirming my
ability to work in a team and create Project Coordination
solutions under constant deadlines. I
successfully completed the IT Product Critical Thinking
Marketing course from Genesis (94.7%)
Leadership & Initiative
and have a certification from HubSpot
Academy. I am ready to apply my
analytical mindset and proactive
approach to implementing real business COURSES
tasks.
Pre-Intermediate / A2 English Course
01/2026
LANGUAGES
UI/UX Design (Partial Qualification)
Ukrainian 10/2025

English
Digital Marketing Certified
12/2025
AWARDS
Marketing for IT Products
2nd Place at BEST: Hackathon 04/2026
(Category SOFT)

PROJECTS

Wofly — Email Marketing Strategy
Retention & Trigger Marketing Analysis
03/2026 – Present
Developed a strategy for automated triggered emails
based on user behavior to increase retention (retention).
Analyzed marketing briefs and set up personalized
communication scenarios to improve conversion in the
product funnel.
Personal Interview Coach Hub (PICH)
AI-driven platform for interview preparation and career
development
03/2025 – 06/2025
Developed the PICH MVP, an AI-driven platform that
automates interview preparation through real-time
simulators and resume generation. I conducted deep
market research to define a tiered monetization strategy
and launched a multi-channel growth plan targeting
LinkedIn, Instagram, and YouTube. The system features
advanced AI feedback loops to evaluate candidate speech
logic, technical accuracy, and confidence.