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-Experience Software Test Intern – June 2019 to August 2019 LOGO Software, Izmir, Turkey • During my internship. I learned how to write API using ASP .Net MVC and continued to work in this field. I also had the opportunity to test the API that I wrote with Unit Test in the Postman application. Software Intern – July 2018 to August 2018 Spartakus Software, Izmir, Turkey • Throughout my internship, we have created a sign in site for future interns in that company using HTML, PHP, and MySQL along with other interns. Software Test Intern – January 2018 to February 2018 Turkish Aerospace (TAI), Ankara, Turkey • Throughout my internship, I have closely followed and implemented the Software Testing Lifecycle and have done user testing of various programs. -Skill Highlights • Project management • Software Testing Lifecycle • SolidWorks • Assembly Language • Unit Test • SEO • Postman • Unity Engine • Adobe After Effects • C# • Matlab • ASP. NET MVC • Java • Clip Studio Paint Pro • Adobe Illustrator • Adobe Photoshop • 3Ds Max • HTML • CSS -Publication Deep Learning-Based Melanoma Detection from Dermatological Images – April 2019 EBBT; University of Arel, Istanbul As a 4th-grade student, we participated in EBBT 2019 by publishing a short article about our project as a member of the graduation project group. Our project was to make artificial intelligence that decided whether these moles were malignant or benign, using dermatological pictures of the moles in our skin, thanks to artificially intelligent software that we were programmed in Matlab. Participation in the conference and presentation were made in this field. -Projects Deep Learning-Based Melanoma Detection from Dermatological Images – September 2018 to June 2019 Senior Project; Izmir University of Economics, Izmir • As part of the graduation project, I made an artificial intelligence project with my group friends. The subject of our project is as follows. In the CNN architecture (Convolutional Neural Networks) we created and processed by using dermatological images of moles in our skin, we created an artificial intelligence that decides the moles were being or malignant whether the pictures given belong to a melanoma mole. We prepared our project in the Matlab environment and achieved a 72% success. Iceberg Wonder – September 2018 to January 2019 Introduction to Computer Games; Izmir University of Economics, Izmir • For the Introduction to Computer Games lesson, I and my group friend developed a game using the Unity Engine environment. We gave importance to the sub-mechanics of our game rather than visual beauty. The subject of our game is that our character survives a shipwreck and tries to return home across the vast frozen ocean. If you want to examine our game in more detail, the YouTube link is as follows; https://www.youtube.com/watch?v=do3MZwDCAMQ

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