I am a fourth-year Management Information Systems student at Altınbaş University, deeply passionate about software development and dedicated to continuous improvement. I have successfully completed Harvard University's CS50 program, which provided me with a strong foundation in algorithmic logic, data structures, and software architecture.
I have recently started a new internship where I am focused on Backend API development using .NET technologies. Prior to this role, I gained full-stack development experience in internships covering database, backend, and frontend processes.
Alongside my current focus on ASP.NET and C#, I have a special interest in data science and artificial intelligence. I work on data extraction, cleaning, analysis, and visualization using Python. I develop basic statistical analyses and machine learning models using libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. I am proficient in a wide range of technologies, including C, C++, React, JavaScript, HTML, CSS, and PHP.
In addition to my technical skills, I strengthened my leadership and communication abilities by serving as the President of the Start-Up Club at my university and achieving departmental honors. I am also actively interested in fitness, boxing, and chess.
Full-stack admin portal for managing bank customers, accounts, and payments. Backend built with ASP.NET Web API and Entity Framework over MSSQL (with stored procedures); frontend implemented as a responsive React admin UI exposing role-based CRUD and reporting.
A professional Python application that calculates credit scores using customer data retrieved from a database. The project features robust data analysis, SQL integration, and a user-friendly interface built with Tkinter, providing a clear demonstration of credit scoring fundamentals and data-driven decision making.
A comprehensive Python project for analyzing and visualizing stock market data. Utilizes libraries such as Pandas, Matplotlib, and yfinance to fetch, process, and display historical stock prices and trends. Features interactive data visualization and technical analysis tools to support informed investment decisions.
An advanced Python project focused on analyzing and visualizing Central Bank of Turkey data. The project leverages Pandas and Matplotlib for data processing and visualization, providing insights into economic indicators and trends through interactive charts and comprehensive analysis.
This C program designed to amplify the volume of WAV audio files. This tool reads an input WAV file, increases the audio signal by a user-defined factor, and outputs a new WAV file with enhanced volume. It demonstrates efficient file handling, audio data processing, and practical application of C for digital signal manipulation.
An C program that computes the Coleman-Liau Index (CLI) for any given English text. The Coleman-Liau Index is a widely used readability metric that estimates the U.S. grade level required to comprehend a text, based on the number of letters, words, and sentences. This project demonstrates efficient text parsing, string manipulation, and the practical application of algorithms for educational and linguistic analysis.
An C-based console application for encrypting and decrypting text using custom algorithms. This project demonstrates fundamental concepts in cryptography and string manipulation, providing a simple yet effective tool for secure text processing.
Current GPA: 3.63/4.00
Ranked as the top student in my department during my first year and second top student in my second year.
Graduated with an 85 GPA from a high school ranked in the top 2% nationwide.
Feel free to reach out for collaborations or just to say hello!
Personal
sarpaltinok.dev@gmail.comAcademic
223502043@ogr.altinbas.edu.trGitHub
github.com/sarpaltinok