Сервіс пошуку роботи №1 в Україні
Вікторія
Data scientist
- Розглядає посади:
- Data scientist, Data analyst, SQL-програміст, аналітик з маркетингу, Data engineer, Automation engineer, Low code інженер, контент-менеджер, аналітик, AI-розробник
- Вік:
- 21 рік
- Місто проживання:
- Львів
- Готовий працювати:
- Дистанційно, Львів
Контактна інформація
Шукач вказав: ТелефонЕл. поштуМесенджер
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/13158703/
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VIKTORIIA KYRYCHUK
Junior Business Analyst
CONTACT PROFILE
[відкрити контакти ](див. вище в блоці «контактна інформація») Computer Science graduate with an analytical, systems-oriented mindset.
[відкрити контакти ](див. вище в блоці «контактна інформація») Experienced in turning a business need into a working solution: analysing a
Lviv, Ukraine workflow, designing the data model, building and documenting the system, and
github.com/VikaKirichuk verifying it with automated tests. Solid understanding of how web systems fit
together (REST APIs, JWT authentication, relational databases, cloud
EDUCATION
integrations) and confident with SQL. Looking for a Junior Business Analyst role
Lviv Polytechnic National University
where I can gather and structure requirements and help the client and the
Bachelor's degree in Computer Science
development team share one clear picture of the product.
Sep 2022 - Jun 2026
SKILLS PROJECTS
Analysis & Documentation 1. Taxi Fleet Management System (C++ desktop application)
• Workflow analysis and functional • Analysed the fleet workflow (driver scheduling, vehicle assignment, trip
decomposition tracking) and turned it into application features and reports.
• Data modelling • Designed the data model for driver availability and vehicle status; implemented
• Technical documentation reporting logic that summarises daily operations.
• Structuring messy, inconsistent data
• Statistics: probability, hypothesis testing, 2. AgroVision: Intelligent System for Agricultural Field Anomaly
regression Detection
Systems & Data • Delivered an end-to-end system: a SegFormer-B2 model detecting 8 anomaly
• SQL, PostgreSQL classes on 30,972 field images (mIoU 0.64), a REST API (FastAPI, JWT) and
• REST API (FastAPI), JWT authentication cloud storage (AWS S3 / RDS / PostgreSQL).
• AWS (S3, RDS), Docker • Built a RAG-based search (ChromaDB) that lets users find answers in project
• Power BI, Python (pandas, NumPy, documentation and reports using natural language.
scikit-learn) • Covered the system with an automated test suite (78% coverage) to confirm it
Tools behaves as specified.
• Figma, Git / GitHub, HTML/CSS 3. Fuzzy Logic Module: "Search for Similar Addresses"
• Java, C, C++, JavaScript • Solved a data quality problem: matching noisy, inconsistent address records
SOFT SKILLS with Levenshtein-based similarity scoring in Python.
• Logical and systems thinking • Made matching thresholds configurable so users can balance precision and
recall on messy real-world data.
• Clear communication in technical
discussions 4. Data analysis & forecasting projects
• Attention to detail • Land Fertility: Random Forest regression for soil fertility prediction (R2 = 0.84),
• Cross-functional teamwork with train/test validation and feature importance analysis.
• Fast adaptability to new tools • Household Electricity Consumption: time-series forecasting (R2 ~ 0.8);
compared several algorithms and tuned hyperparameters on historical usage
LANGUAGES
data.
Ukrainian - Native
English - B1 5. Other projects
• Checkers game (C++); To-do list application (C++ / Python); website for
CERTIFICATIONS & COURSES "Ukraine 4 You" (HTML/CSS)
• Microsoft SQL for Beginners
• CCNAv7: Introduction to Networks
• Power BI Masterclass from Scratch
• 100 Days of Code - Web Development
Bootcamp (2024)
Junior Business Analyst
CONTACT PROFILE
[
[
Lviv, Ukraine workflow, designing the data model, building and documenting the system, and
github.com/VikaKirichuk verifying it with automated tests. Solid understanding of how web systems fit
together (REST APIs, JWT authentication, relational databases, cloud
EDUCATION
integrations) and confident with SQL. Looking for a Junior Business Analyst role
Lviv Polytechnic National University
where I can gather and structure requirements and help the client and the
Bachelor's degree in Computer Science
development team share one clear picture of the product.
Sep 2022 - Jun 2026
SKILLS PROJECTS
Analysis & Documentation 1. Taxi Fleet Management System (C++ desktop application)
• Workflow analysis and functional • Analysed the fleet workflow (driver scheduling, vehicle assignment, trip
decomposition tracking) and turned it into application features and reports.
• Data modelling • Designed the data model for driver availability and vehicle status; implemented
• Technical documentation reporting logic that summarises daily operations.
• Structuring messy, inconsistent data
• Statistics: probability, hypothesis testing, 2. AgroVision: Intelligent System for Agricultural Field Anomaly
regression Detection
Systems & Data • Delivered an end-to-end system: a SegFormer-B2 model detecting 8 anomaly
• SQL, PostgreSQL classes on 30,972 field images (mIoU 0.64), a REST API (FastAPI, JWT) and
• REST API (FastAPI), JWT authentication cloud storage (AWS S3 / RDS / PostgreSQL).
• AWS (S3, RDS), Docker • Built a RAG-based search (ChromaDB) that lets users find answers in project
• Power BI, Python (pandas, NumPy, documentation and reports using natural language.
scikit-learn) • Covered the system with an automated test suite (78% coverage) to confirm it
Tools behaves as specified.
• Figma, Git / GitHub, HTML/CSS 3. Fuzzy Logic Module: "Search for Similar Addresses"
• Java, C, C++, JavaScript • Solved a data quality problem: matching noisy, inconsistent address records
SOFT SKILLS with Levenshtein-based similarity scoring in Python.
• Logical and systems thinking • Made matching thresholds configurable so users can balance precision and
recall on messy real-world data.
• Clear communication in technical
discussions 4. Data analysis & forecasting projects
• Attention to detail • Land Fertility: Random Forest regression for soil fertility prediction (R2 = 0.84),
• Cross-functional teamwork with train/test validation and feature importance analysis.
• Fast adaptability to new tools • Household Electricity Consumption: time-series forecasting (R2 ~ 0.8);
compared several algorithms and tuned hyperparameters on historical usage
LANGUAGES
data.
Ukrainian - Native
English - B1 5. Other projects
• Checkers game (C++); To-do list application (C++ / Python); website for
CERTIFICATIONS & COURSES "Ukraine 4 You" (HTML/CSS)
• Microsoft SQL for Beginners
• CCNAv7: Introduction to Networks
• Power BI Masterclass from Scratch
• 100 Days of Code - Web Development
Bootcamp (2024)
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