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I am a graduate of Fırat University, holding a degree in Computer Engineering (3.02/4). As a Fullstack Software Developer, I have approximately 7 months of professional experience as a long-term intern in two different companies. Additionally, I have participated in project-based work with various firms. I am proficient in Object-Oriented Programming (OOP) languages and have worked on projects involving artificial intelligence, computer vision, data science, and blockchain technologies. My experience includes software development for advanced data analysis techniques such as Support Vector Machines, Natural Language Processing, Feature Engineering, and Time Series Analysis. Furthermore, I have conducted academic research in the field of data science, resulting in a publication in the YBS Academy journal. I also run a YouTube channel where I create software-related videos to share my knowledge and engage with the technology community. Additionally, I publish numerous projects on my GitHub. I am eager to contribute to innovative projects and help enhance company success.

Bachelor of Science in Computer Engineering (Computer Science)
Fırat University
Graduated with a GPA of 3.02/4

San Francisco, USA | 07/2023 – 10/2023

• Conducted performance analysis using imputation techniques and hyperparameter optimization to solve missing data problems.
• My analysis was published as a research paper.

Ankara, Turkey | 07/2022 – 09/2022

• Gained hands-on experience in data science projects and contributed by applying machine learning techniques.
• Conducted research on using imputation techniques to create a complete dataset and transformed it into a 3D model.

• Solving The Missing Data Problem
  Uğur CAN, Prof. Dr. Şadi Evren Şeker (YBS Encyclopedia Volume12, Number1, January 2024)
  Focuses on addressing missing data in model building by examining 14 imputation methods and comparing results across 4 parameter optimization methods, with XGBoost as the prominent method.

• Real-Time Supervised and Unsupervised Project Trials and Comparative Results
  Uğur CAN, Rifat Taha Çimen, Prof. Dr. İlhan Aydın
  Developed real-time supervised and unsupervised systems for detecting collapsed houses (drone footage) and defective products on a production line.

Vodafone Hackathon
Developed a mobile app for women in 24 hours. The app allows users to access healthy recipes, search for recipes based on ingredients, and share nutritional information.

• ugurcreative Studios
  Technologies: HTML, CSS, Node.js, JavaScript, React, Angular, ASP.NET Core, Unity, Android Studio, Vuforia (AR), PyGame, Python
  Developed and published two games on Google Play Store: Defend Sparta and Jumper Pill Jump (20,000+ downloads). Created a blog site viphukukdanismanlik.com. Worked on various unpublished projects such as a book sales site and multiple games.
  2021 – 2023

• Calculating The Number of People Entering and Exiting From Live Camera Footage
  Developed an object recognition app using live footage to count people in real-time, utilizing deep learning techniques.
  2023

• Door Opening With Face Recognition System (TÜBİTAK Project)
  Developed a facial recognition-based security system that opens doors for registered users without model training.
  2023

• Custom Object Recognition App, Trained With Own Database
  Led a team of 18 students to create a custom dataset and trained a model for object recognition using Python, PyTorch, and TensorFlow.
  2022

• E-commerce Website with Payment Method
  Developed a textile e-commerce website using Django, integrated with PayPal for payment processing.
  2021

• Turkish: Native
• English: B2

• End-to-End Data Science for All Levels, with Knime – Prof. Dr. Şadi Evren Şeker
• Machine Learning with Python – Prof. Dr. Şadi Evren Şeker
• The Complete Machine Learning Course with Python – Codestars
• Learn Computer Vision with OpenCV and Python – Dr. İbrahim Delibaşoğlu
• Modern Web Development Course – Mustafa Murat Coşgun, Engin Demiroğ