
I am a dedicated and innovative Computer Programming graduate with hands-on experience in both theoretical and practical aspects of software development and data analysis. During my university studies, I led a notable capstone project focused on Diploma Security Using Steganography, where I utilized techniques such as Wavelet Transform and Cryptography. This project provided me with deep insights into system analysis, design, feasibility studies, SWOT analysis, and data flow diagrams.
In addition, I conducted a comprehensive research project comparing deadlock algorithms in operating systems, resulting in a detailed analysis and comparative study documented in a research paper. Furthermore, I developed a machine learning project employing KNN (K-Nearest Neighbors) to predict cancer based on patient data, including smoking habits and age, demonstrating my ability to apply machine learning techniques to real-world problems.
My academic and project experiences have equipped me with a robust skill set in software development, data analysis, and machine learning. I am eager to leverage these skills in a professional setting to drive innovative solutions and contribute to organizational success.
Software Development
Data Analytics
Continuous Improvement
SQL Databases
Analytical Problem Solving
Data Science
Python
Agile
Machine Learning
Data Security
Object-Oriented Programming
Pandas Library
NumPy Library
System Design
Github: https://github.com/ozan-ops
LinkedIn: www.linkedin.com/in/ozan-cömert