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As a recent graduate and Junior Software Developer, I have around 7 months of professional experience as a long-term intern at two different companies. I specialize in Object-Oriented Programming (OOP) and have worked on projects involving AI, computer vision, data science, and blockchain technologies. My experience includes developing software for advanced data analysis, such as Support Vector Machines, Natural Language Processing, Feature Engineering, and Time Series Analysis. I have also conducted academic research in data science, with a publication in the YBS Academy journal. Additionally, I create software-related videos on YouTube Code & Chill with Ugur Can, where I share my knowledge and engage with the tech community. I am eager to contribute to innovative projects and help drive 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