Jordan Decker

Masters Student at Georgia Institute of Technology

I have a rich and diverse professional background that has allowed me to develop strong skills in data analysis, legal proofreading, journalism, and AI training. Currently, I am a Data Analyst and AI Trainer at SuperAnnotate, where I analyze large datasets, develop AI training content, and ensure model accuracy. This role has provided me with valuable experience in the practical application of data science and machine learning techniques.

Additionally, I work as a Legal Assistant at Adam's Law Firm, where I conduct legal research, draft documents, and manage case files. My time at Georgia Southern University as a volunteer Student News Proofreader helped me hone my skills in proofreading, editing, and research, contributing to the quality of the student newspaper.

My technical expertise spans multiple programming languages, including Python, Java, C++, and C#, with a strong focus on data analysis, machine learning, UI development, and 3D modeling. I have also pursued personal projects, such as developing a 3D simulation game focused on underwater vehicle navigation using Unity and C# and creating an EEG machine using Arduino. My passion for science and technology drives me to continually seek new challenges and opportunities to learn, grow, and contribute to innovative projects.

I hold a Master of Science in Computer Science from Georgia Institute of Technology, where I focused on 3D Engineering, Data Science, Computer Engineering, and Quantum Computing. I also earned a Master of Science in Information Technology with a focus on data from Southern New Hampshire University. My academic journey began with a Bachelor of Science in Criminal Law with a minor in Psychology from Georgia Southern University, where I also engaged in various research projects and extracurricular activities, including creative writing, robotics, debate, chess, physics, and participation in hackathons.