Gamze Yavuz

Gamze Yavuz Istanbul / Turkey | - |- linkedin.com/in/gamzeyavuz  github.com/ygamze Work experience Software Engineering Intern Languages- - Turkish (Native language) Sampas Holding English (Professional working proficiency) Web application is developed with MVC design pattern, .NET framework, using Visual Studio and C# programming language to create personal control system of company. German (Limited working proficiency) Education Computer Engineering (English) Activities & Volunteering- - Izmir Institute of Technology Izmir/Turkey Computer Science French (Elementary proficiency) - - Fachhochschule Südwestfalen Iztech Software Community Chairwoman (Oct. 2018 - July 2019) Web & Design Committee Chairwoman at IEEE IZTECH Student Branch (January 2016 -December 2017) Organization Team Member at Erasmus student Genç Beyinler Yeni Fikirler'17 Iserlohn / Germany Girls in STEM Project'17 High School 2010 - 2014 Web & Mobile Technologies Conference 2016 Bahçelievler Anatolian High School GDG DevFest Izmir 2016 Istanbul / Turkey Iztech Roboleague 2016 Skills Courses Programming Languages WAKE UP Program - TIM-TEB Girisim Evi : Trainings on entrepreneurship related subjects were learned.(04/01/2019 – 06/01/2019 ) Java, Python, C#, Javascript, R, HTML/CSS Databases Oracle, MySQL, Firebase Projects Bachelor Thesis Project : As an undergraduate thesis project, android application is developed for students. Project name is Student Assistant. It is developed with using Android Studio and Java programming language. Firebase database is used to keep data. Roughly, aim of the project is that help students when they try to schedule their study hours for undergraduate education life. Machine Learning Projects : Calculation of Discriminant Functions for 2-D Multivariate Normal Density on the Wine Dataset with Python programming language. Data analysis on Emergency-911 Calls dataset that is shared on Kaggle with using KNN, SGD Classifier, and Linear SVC machine learning algorithms. Implementation of a Fully-Connected Neural Network to solve MNIST Hand-written digit recognition problem. Data analysis and data visualization on Bone Mineral Density with R programming language. Data Mining - IEEE Turkey : Data analysis was performed using Knime and data mining algorithms.(25/01/2018 – 27/01/2018) Memberships Facebook Developer Circle Istanbul Deep Learning Turkey Google Developer Group Istanbul