Sevde Işıl Bodur

Computer Engineering student with strong experience in project-based software development, data science, and object-oriented programming. Demonstrated leadership in IEEE through national and regional roles, along with hands-on project management experience. Skilled in C#, Python, and database-integrated desktop applications. Passionate about learning, problem-solving, and creating impactful tech solutions.

• Linear Regression Prediction Model (Python, Scikit-learn)

I built a linear regression model to analyze the relationship between variables in a dataset. I used Python and the Scikit-learn library to implement the model and evaluated its performance through visualizations. I gained experience in applying supervised learning techniques and interpreting regression outputs.  View Project: [Kaggle Notebook]( https://www.kaggle.com/code/sevdeilbodur/dogrusal-regresyon)

• Iris Flower Classification (Python, Scikit-learn, Matplotlib)

I developed a classification model using the Iris dataset to distinguish between different flower species based on petal and sepal measurements. I applied supervised learning algorithms and visualized the results to evaluate model performance. I improved my skills in data preprocessing, model training, and result interpretation.  View Project: [Kaggle Notebook](https://www.kaggle.com/code/sevdeilbodur/irisflowers)

• Perfect Number Checker in Python and Fibonacci Sequence Generator (Python, Jupyter Notebook)

 - I implemented a function to determine whether a given number is a perfect number, using mathematical logic and iterative loops. I took input from the user and used conditional statements to evaluate the number’s divisors and their sum. I improved my algorithmic thinking and control flow skills in Python.

 - I created a Python program to generate the Fibonacci sequence up to a user-defined limit. I used loops, conditionals, and list operations to build and filter the sequence dynamically. This project helped me practice basic algorithm development and user input handling in Jupyter Notebook.

View Project:(https://www.youtube.com/watch?v=DUSrHT3jnj8&t=1162s)

• Digital Library Management System (C#, Windows Forms)

I designed and developed a digital library application to manage books, magazines, and users by applying core object-oriented programming (OOP) principles such as encapsulation, inheritance, and constructors. I implemented class structures for books and magazines with private attributes and public display methods. I also developed features like adding/removing items and listing all records through a user-friendly Windows Forms interface.

• Vehicle Management System (C#, Interface, Windows Forms)

I built a vehicle tracking system where different vehicle types such as cars, boats, and airplanes were modeled using interfaces and class inheritance. I implemented interface methods, validation logic, and vehicle-specific attributes (e.g., engine count, load capacity). I designed a Windows Forms interface to allow users to add, update, and manage vehicle data dynamically with form-based input validation and list controls.

• University Course Registration System – DERSİS (C#, PostgreSQL, Desktop App)

I designed and implemented a course registration system for the Computer Engineering Department, allowing students to enroll in courses, view grades, and interact with instructors. I applied PostgreSQL for database management and C# for interface logic, incorporating custom business rules like course limits, prerequisites, and validation constraints. I also prepared an ER diagram and final report as part of the project documentation.

• Patient Information System for Family Clinics (C#, PostgreSQL, Windows Forms)

I developed a patient management system that stores and edits personal and medical data of patients, including identity, diagnosis, and contact information. I built the application using C# and integrated it with a PostgreSQL database for data persistence. I implemented CRUD operations, data validation, and form-based interfaces to simulate a functional desktop application for clinical use.

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