Дарина

DARYNA PRYTULA
Data Analyst
Phone: [відкрити контакти](див. вище в блоці «контактна інформація») Email: [відкрити контакти](див. вище в блоці «контактна інформація») LinkedIn: Daryna Prytula Telegram: @darciaprytula Location: Lviv, Ukraine

SUMMARY
Data Analyst with experience across product, marketing and business analytics. I enjoy working with data to understand
business problems, identify patterns and support better decisions. I have worked with user behaviour, funnels, A/B
tests, monetisation, fraud and payment data, turning findings into practical business recommendations. Strong in SQL,
Python and statistics, with experience using Tableau and solving real business cases.

EXPERIENCE
Analytics Camp 3.0 – Analytics Cases (Jun – Aug 2026)
Solved cases across product, marketing and fraud analytics, covering conversion funnels, A/B testing, monetisation,
creative performance and anomalous user behaviour.
Investigated performance drops and behavioural patterns using segmentation, statistical testing and root-cause
analysis, translating findings into actionable recommendations.
Built decision frameworks and monitoring approaches for traffic distribution, creative testing and fraud detection.

Product Growth Analysis for KFC Ukraine (Feb – May 2026)
Analysed customer behaviour and app experience to identify barriers to adoption and repeat purchases, translating
insights into product and marketing improvements.
Developed and tested a renewed loyalty programme concept, including gamification and brand collaboration ideas.

Profitability & Risk Analysis in Agriculture (Mar – Apr 2026)
Analysed data from an agricultural company in Western Ukraine to identify key profitability drivers and distinguish
controllable factors from external risks.
Built regression models to evaluate crop mix and yield–profitability relationships, translating findings into insights
for planning and budgeting.

Signal Processing & Predictive Maintenance Analysis (Mar – May 2026)
Analysed turbine sensor data to detect abnormal operating patterns and identify early signs of equipment wear.
Built a condition-based monitoring approach with warning and critical thresholds to support maintenance planning
and inspection prioritisation.

COIL Project (UCU and Airlangga University) – Market Entry Analysis (Apr – May 2025)
Analysed Benofarm’s potential entry into the European market, evaluating business conditions, opportunities and
risks and translating findings into market-entry recommendations.

SKILLS
Technical: Python | Pandas/NumPy | Matplotlib/Plotly | SQL | Tableau | Excel | Algorithms & Data Structures | Git
Data & Statistics: A/B Testing | Regression Analysis | Hypothesis Testing | Customer Segmentation | Funnel & Conversion
Analysis | LTV & Monetisation Analysis | Anomaly Detection
Product & Business: Fraud Analysis | User Behaviour Analysis | Customer Journey Mapping | Root-Cause Analysis | Market &
Competitor Research | Requirements Analysis | Business Process Analysis | User Stories & Acceptance Criteria

EDUCATION CERTIFICATIONS LANGUAGES
Ukrainian Catholic University Analytics Camp 3.0 by Genesis Academy 2026 Ukrainian (native)
BSc in System Analysis Case Challenge 2.0 SKELAR x Horizon Capital 2026 English (B2 Upper-Intermediate)
2024-present Oracle Cloud Infrastructure 2025 Certified AI
Foundations Associate
Pandas - Kaggle 2024

VOLUNTEERING & ACTIVITIES
Open Days · UCU
Coordinated registration and attendee flow for 125+ visitors, ensuring a smooth event experience.
IT Career Kickstart · Genesis & UCU
Managed registration and scheduling for 75 attendees, helping organise the event.
“Poradnia” Psychology Conference · UCU
Supported attendees and set up the post-event feedback and certificate process.