Graduate Software Engineering student building practical projects and preparing for my first professional role.
A compact portfolio of student projects and exercises demonstrating core software engineering skills, tools, and problem solving.
Built a backend application for managing students, instructors, courses, and enrollments with authentication, REST API endpoints, MVC architecture, and PostgreSQL integration. Containerized the application and database with Docker and structured the codebase into maintainable, reusable components using Git for version control.
Built an end-to-end ETL pipeline processing 541K+ real-world retail transactions, including data ingestion, cleaning, transformation, validation, and analytical loading. Designed a star-schema data warehouse with customer, product, date, and country dimensions, enabling SQL-based analysis of revenue, sales trends, products, and customer activity. Cleaned and validated raw transactional data by handling duplicates, cancellations, invalid quantities, missing customer identifiers, and inconsistent records before loading curated datasets. Implemented automated data-quality and transformation tests with Pytest and configured GitHub Actions CI to validate the pipeline on every push and pull request.
Graduate Software Engineering student building practical projects and preparing for my first professional role.
I am Aylin Kars, a graduate student pursuing a Bachelor's in Software Engineering. I have limited professional experience and am preparing to start my career, focusing on building practical skills and project work.
Experience
AI Document Chatbot - Project Team Lead
Czech Technical University in Prague · Feb 2025 - Feb 2026
Education
Czech Technical University in Prague (CTU)
B.Sc. in Software Engineering
Skills
Built a backend application for managing students, instructors, courses, and enrollments with authentication, REST API endpoints, MVC architecture, and PostgreSQL integration. Containerized the application and database with Docker and structured the codebase into maintainable, reusable components using Git for version control.
Built an end-to-end ETL pipeline processing 541K+ real-world retail transactions, including data ingestion, cleaning, transformation, validation, and analytical loading. Designed a star-schema data warehouse with customer, product, date, and country dimensions, enabling SQL-based analysis of revenue, sales trends, products, and customer activity. Cleaned and validated raw transactional data by handling duplicates, cancellations, invalid quantities, missing customer identifiers, and inconsistent records before loading curated datasets. Implemented automated data-quality and transformation tests with Pytest and configured GitHub Actions CI to validate the pipeline on every push and pull request.