Антропова

DINARA ANTROPOVA
Computer Science Student | Junior Software Engineering

Ukraine | Dnipro

Email: [відкрити контакти](див. вище в блоці «контактна інформація») | Phone: [відкрити контакти](див. вище в блоці «контактна інформація»)
GitHub: github.com/DinaraAntropova
English: B2 (Upper-Intermediate)

PROFILE
Fourth-year Computer Science student at Alfred Nobel University with hands-on academic
experience in Python, Java, R, SQL, backend development, data analysis, NLP, and
mathematical optimization.

Built projects involving text and emotion analysis, topic modeling, optimization algorithms,
REST APIs, object-oriented application design, databases, and web development. Interested
in AI engineering and software development, with a strong motivation to gain practical
experience building real-world AI-powered products.

EDUCATION
Alfred Nobel University
Bachelor’s Degree in Computer Science
4th-year student | Specialty 122 — Computer Science

Relevant areas of study include data mining, software development, object-oriented
programming, databases, mathematical optimization, cloud technologies, and web
development.

State Comprehensive English Exam — 93/100, 2026
Assessed IELTS/FCE-format reading, business writing, professional presentation, and
spoken interview skills.

TECHNICAL SKILLS
Programming: Python, Java, R, JavaScript

Backend: Spring Boot, REST APIs, Spring Data JPA, Maven

Data & AI: Data Mining, Natural Language Processing (NLP), Text Mining, Sentiment
Analysis, Topic Modeling (LDA), Text Preprocessing, Data Visualization

Python & Optimization: PuLP, Linear Programming, Mathematical Optimization,
Transportation Problems

Databases: PostgreSQL, SQL, pgAdmin, H2, JPA

Java: Object-Oriented Programming (OOP), MVC, Java Collections, Exception Handling,
File I/O, Swing

Frontend & Web: React, JavaScript, HTML, CSS, CMS-based development

Tools: Git, GitHub, GitHub Codespaces, GitHub Pages, IntelliJ IDEA, RStudio

SELECTED PROJECTS
Twitter Emotion & Topic Analysis

R | NLP | Data Mining | LDA | Sentiment Analysis

● Developed a text analytics pipeline for analyzing emotions and topics in a dataset of
16,000 text records.
● Performed text preprocessing, including normalization, punctuation and number
removal, stop-word filtering, whitespace cleaning, and stemming.
● Built a Document-Term Matrix and applied filtering techniques to reduce data
sparsity.
● Applied Latent Dirichlet Allocation (LDA) to identify and interpret four topic groups.
● Performed sentiment and emotion analysis using the NRC Emotion Lexicon.
● Created data visualizations using ggplot2 and word clouds.
● Worked with R libraries including dplyr, tidytext, tidyr, tm, topicmodels, syuzhet,
SnowballC, and wordcloud.

Document Management REST API

Java | Spring Boot | Spring Data JPA | REST API | H2 | Maven

● Developed a RESTful backend application for document management using Java
and Spring Boot.
● Implemented CRUD operations for creating, retrieving, updating, and deleting
document records.
● Structured the application using Controller, Service, Repository, and Entity layers.
● Used Spring Data JPA for persistence and H2 as the project database.
● Implemented document filtering based on user, signing status, and date range.

GitHub: github.com/DinaraAntropova/backend_project

Mathematical Optimization with Python

Python | PuLP | Linear Programming

● Implemented mathematical optimization models using Python and the PuLP library.
● Solved linear programming problems involving objective-function minimization and
maximization under multiple constraints.

● Modeled production-planning problems to determine optimal resource allocation.
● Implemented transportation optimization models to minimize transportation costs
while satisfying supply and demand constraints.
● Worked with decision variables, objective functions, constraints, and optimization
solvers.

Music Recommendation Application

Java | OOP | MVC | Java Collections

● Developed a console-based music recommendation application using Java and
object-oriented programming principles.
● Implemented song recommendations based on genre and artist preferences.
● Structured the application using the Model–View–Controller (MVC) architecture.
● Applied inheritance, encapsulation, method overriding, and polymorphism.
● Used HashMap, List, and Set collections to organize and retrieve music data.

ADDITIONAL PROJECT EXPERIENCE
E-commerce Website

CMS | E-commerce Development

● Developed and configured a functional e-commerce website using a CMS platform.
● Created a product catalog with categories and product variations, including
selectable product sizes.
● Configured shopping cart, checkout, customer forms, and delivery options.
● Integrated and configured plugins supporting online payment functionality.
● Worked with CMS administration tools and plugins to manage products and website
content.

Frontend Development

React | JavaScript | HTML | CSS

● Completed practical frontend development work using React and JavaScript.
● Worked with component-based web development and frontend technologies.

GitHub: github.com/DinaraAntropova/reacr_lab

Cloud Development Practice

GitHub Codespaces | Git | GitHub Pages | HTML | CSS | JavaScript

● Developed a web project in a cloud-based development environment using GitHub
Codespaces.
● Used Git and GitHub for version control and repository management.
● Worked with HTML, CSS, and JavaScript.

● Deployed and published the project using GitHub Pages.

GitHub: github.com/DinaraAntropova/cloud-practice-1

ADDITIONAL TECHNICAL EXPERIENCE
PostgreSQL & SQL

● Created and managed PostgreSQL databases using pgAdmin.
● Created and modified database tables and worked with stored data and database
functions.
● Connected PostgreSQL databases to development projects in IntelliJ IDEA.
● Used SQL for retrieving, updating, and manipulating data.

Java Development

● Completed multiple Java programming assignments involving OOP, collections, data
structures, file operations, exception handling, arrays, text processing, and GUI
development with Swing.
● Developed applications implementing CRUD-style operations, data search and
management, inheritance, enums, and event handling.

LANGUAGES
Ukrainian: Native
English: B2 / Upper-Intermediate