Сервіс пошуку роботи №1 в Україні
Аліна
Дата-аналітик
- Місто проживання:
- Київ
- Готовий працювати:
- Дистанційно, Київ
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/20007484/
Завантажений файл
Версія для швидкого
перегляду
Це резюме розміщено у вигляді файлу. Ця версія для швидкого перегляду може бути гіршою за оригінал резюме.
SUMMARY
Alina 4th-year Computer Science student focused on Data Analytics, with hands-on
experience in SQL, Python, and Power BI through independent projects.
Hermash Experienced in data cleaning, EDA, statistical analysis, data visualization, and
building interactive dashboards. Strong foundation in statistics, databases, and
analytical problem-solving.
Kyiv, Ukraine
TECHNICAL SKILLS
Data Analysis & BI: SQL (PostgreSQL, SQLite), BigQuery, Python (Pandas,
CONTACT INFORMATION NumPy), Power BI, Tableau, Google Sheets, EDA, statistical analysis, data
cleaning & preprocessing
[відкрити контакти ](див. вище в блоці «контактна інформація») Programming: Python, OOP, Algorithms & Data Structures
[відкрити контакти ](див. вище в блоці «контактна інформація»)
Tools & Environment: Git/GitHub, Jupyter Notebook, VS Code, pgAdmin 4,
https://github.com/Hermash
Docker
[відкрити контакти ](див. вище в блоці «контактна інформація»)
PROJECTS
> Superstore Sales Analysis — End-to-end retail sales analytics project including
data cleaning and validation (Python, Pandas), exploratory data analysis to
identify seasonal trends across categories and customer segments, SQL
analysis in PostgreSQL, and an interactive Power BI dashboard with filters by
region, category, and date.
GitHub: https://github.com/Hermash/Superstore-Sales-Analysis
> ML Forecasting Service — FastAPI web application for time series forecasting
featuring three baseline models, CSV data validation, forecast evaluation
using MAE, RMSE, and MAPE metrics, and Docker deployment.
GitHub: https://github.com/Hermash/ML-forecasting-service
> Movies Database — Relational database project for managing movie data,
including actors, directors, and genres: database schema and ER diagram
design in PostgreSQL, implementation of one-to-many and many-to-many
relationships, SQL queries for data retrieval, PostgreSQL ENUMs and arrays
for genre management, and indexes and views for query optimization.
GitHub: https://github.com/Hermash/movies-project
EDUCATION
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic
Institute" (KPI)
B.Sc. in Computer Science
Institute for Applied System Analysis
2023 – Present (4th year)
Certifications:
Introduction to Statistics — Stanford University, Coursera (2025) [Certificate]
CS50: Introduction to Databases and SQL — Prometheus (2026) [Certificate]
Networking Fundamentals — Akamai Technologies, Inc., Coursera (2025)
[Certificate]
LANGUAGES
Ukrainian — Native
English — Intermediate (B1)
Alina 4th-year Computer Science student focused on Data Analytics, with hands-on
experience in SQL, Python, and Power BI through independent projects.
Hermash Experienced in data cleaning, EDA, statistical analysis, data visualization, and
building interactive dashboards. Strong foundation in statistics, databases, and
analytical problem-solving.
Kyiv, Ukraine
TECHNICAL SKILLS
Data Analysis & BI: SQL (PostgreSQL, SQLite), BigQuery, Python (Pandas,
CONTACT INFORMATION NumPy), Power BI, Tableau, Google Sheets, EDA, statistical analysis, data
cleaning & preprocessing
[
[
Tools & Environment: Git/GitHub, Jupyter Notebook, VS Code, pgAdmin 4,
https://github.com/Hermash
Docker
[
PROJECTS
> Superstore Sales Analysis — End-to-end retail sales analytics project including
data cleaning and validation (Python, Pandas), exploratory data analysis to
identify seasonal trends across categories and customer segments, SQL
analysis in PostgreSQL, and an interactive Power BI dashboard with filters by
region, category, and date.
GitHub: https://github.com/Hermash/Superstore-Sales-Analysis
> ML Forecasting Service — FastAPI web application for time series forecasting
featuring three baseline models, CSV data validation, forecast evaluation
using MAE, RMSE, and MAPE metrics, and Docker deployment.
GitHub: https://github.com/Hermash/ML-forecasting-service
> Movies Database — Relational database project for managing movie data,
including actors, directors, and genres: database schema and ER diagram
design in PostgreSQL, implementation of one-to-many and many-to-many
relationships, SQL queries for data retrieval, PostgreSQL ENUMs and arrays
for genre management, and indexes and views for query optimization.
GitHub: https://github.com/Hermash/movies-project
EDUCATION
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic
Institute" (KPI)
B.Sc. in Computer Science
Institute for Applied System Analysis
2023 – Present (4th year)
Certifications:
Introduction to Statistics — Stanford University, Coursera (2025) [Certificate]
CS50: Introduction to Databases and SQL — Prometheus (2026) [Certificate]
Networking Fundamentals — Akamai Technologies, Inc., Coursera (2025)
[Certificate]
LANGUAGES
Ukrainian — Native
English — Intermediate (B1)
Схожі кандидати
-
Аналітик
Львів, Дистанційно -
Аналітик
Київ, Дистанційно -
Аналітик
40000 грн, Дистанційно -
Дата-аналітик
Дистанційно -
Аналітик даних
10000 грн, Дистанційно -
Аналітик
Київ