SELIN ALTIPARMAK

I am a recent graduate from Rutgers University with a B.S. in Computer Science and a Data Science Certificate. My technical skills include Python, C, Java, Java FX, and R, as well as experience with MySQL, MongoDB, AWS, and Microsoft Azure. As a Data Analyst/ML Intern at CPSI, I worked on data cleaning and transformation, developed compliance-focused AI solutions, and enhanced data visualization for proactive issue resolution. My hands-on projects and coursework have equipped me with strong data analysis and machine learning skills, making me well-prepared for an entry-level data analyst position.

• RU Pizzeria Project, 11/2022, 12/2022, Developed software for a Pizzeria to manage the orders in GUI (graphical user interface) for taking, placing, and canceling orders in JavaFX using Eclipse. Revamped the user interface in Android System using Singleton design pattern.
• Fitness Project, 09/2022, 11/2022, Developed software to help the fitness chain manage the gym membership options and fitness class schedules that was first provided as a console-based interactive user interface written in Java using Eclipse. Revamped the user interface for the software we developed to develop a GUI (graphical user interface) with JavaFX. Tested in JUnit testing method and used selection sort to efficiently print members in the database list based on different criteria.
• My Little Malloc Project, 01/2022, 02/2022, Developed custom malloc () and free () functions in C with a teammate using Visual Studio Code on Linux. Thoroughly designed and tested a stimulated heap memory region using a global character array with an optimal linked list algorithm for linear complexity in limited memory conditions.

• HackHERS, 2022, 02/19/2022, 02/20/2022, Attending to the largest women centric hackathon in New Jersey. Learned the basic commands on how to use Html and Node Js to run our text editor using Twilio in a group of three.
• Experimental Research Project (Beamline for Schools), CERN, 11/2018, 03/2019, Proposed to CERN to scientifically test our virtual project using analyzed beam-accelerators with a group of five.

• Intro to Data Science
• Data Management for Data Science
• Capstone Project
• Statistical Inference for Data Science
• Systems Programming
• Software Methodology
• Principles of Information and Data Management
• Design and Analysis of Computer Algorithms
• Discrete Structures II
• Data Structures
• Data 101
• Intro to CS
• General Physics II
• Calculus II