• Improved app performance by 30% by optimizing images and using CDN

• Improved SEO based on performance and traffic metrics

• Turned Figma designs into working UI

• Added search and similar tours feature, leading to a 4% increase in revenue

• Built a review system for user feedback

• Integrated new features into the management panel

• Built a backend using the .NET framework and C# programming language.

• Designed a relational database using Microsoft SQL Server and managed it using SSMS.

• Developed the frontend with React.js and ensured responsiveness using Bootstrap 5.

• Implemented various features including a shopping cart, user account management system, and

others.

This Ford Otosan project, supported by the Vehbi Koç Foundation and Mikado Consultancy, focuses

on empowering women in technology and innovation with SistersLab.

• Learned Java fundamentals, OOP principles like inheritance and polymorphism. Managed file

operations and exception handling.

• Connected to databases, executed SQL queries, handled transactions. Built CRUD APIs with Spring

Boot, secured with Spring Security.

• Unit testing was done with JUnit and Mockito.

• Developed solutions to enhance Netflix's content discovery, aiming to improve user experience

and increase subscriptions.

• Conducted SWOT analysis, competitor analysis, and HOW MIGHT WE Analysis.

• Developed solution sketches to propose alternative solutions.

• Created personas and use cases to identify user needs.

• Formulated epic user stories and determine

Clothes Recommendation System Based on Weather Conditions

Developed a real-time clothing recommendation system that combines YOLOv4 and YOLOv5

algorithms to detect clothing in camera images and provide weather-based outfit suggestions,

demonstrating an innovative fusion of AI and image-processing technologies.

• Applied YOLOv4 algorithm with artificial neural networks to detect human figures in real-time

camera images.

• Successfully trained the YOLOv5 model to perform real-time clothing detection on individuals

captured by cctv.

• By incorporating real-time weather information, the system ensures that suggested clothing

options are appropriate for the current weather conditions.

Computer Engineering - GPA: 3.17