Hello! My name is Hunter Mimaroglu. I am currently enrolled at Pennsylvania State University, pursuing a Bachelor of Science in Computer Science. Throughout my years of programming, I have acquired knowledge of numerous languages and tools, including Python, Java, C++, HTML, CSS, Linux operating systems, PyCharm, Xcode, Emacs, and Replit.
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I have worked on a variety of projects, many can be found on my GitHub.
This program is a virtual management tool created to streamline the administration of a theoretical local youth soccer league's registrations. It offers an intuitive platform to add and update player profiles, search through the records using various filters, and produce reports detailing registration figures and payment statuses. Data security is prioritized with capabilities for reliable data storage and backup.
The construction of this program harnessed a comprehensive set of skills. Strategic software design and planning were paramount to ensure that the system was intuitive for non-technical users. Problem-solving was continuously applied, particularly in designing the search functionality and generating statistical reports. The user interface was crafted to provide a straightforward and effective experience for league administrators. File management expertise was essential to preserve the integrity and accessibility of registration data. Robust error handling skills were also employed to ensure the system's
Designed for a Calculus II project, this Python program is a specialized tool that performs a pixel-by-pixel analysis of an image to identify and measure grey areas. It leverages the Python Imaging Library (PIL) to distinguish between grey and non-grey pixels, quantify the extent of grey regions both before and after adjustments, and convert these measurements into centimeters. The program also creates visual representations of these grey regions, aiding in the interpretation of the data.
This project involved a sophisticated application of programming, mathematical reasoning, and data analysis skills. Writing the program required a deep understanding of Python and the PIL, demonstrating the ability to manipulate image data effectively. The developer showcased mathematical acumen in translating pixel data into real-world measurements, a crucial aspect of the project's goal. The program's ability to generate visual outputs also indicates a proficiency in graphical representation of data. The project represents an intersection of computational proficiency with practical mathematical application, essential for advanced problem-solving in a variety of scientific and engineering contexts.
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