Hi, I'm Jhean Breard

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About Me

As a submarine military veteran, I bring a unique perspective to my work in technology. Leading a division and operating nuclear reactors instilled discipline, teamwork, and problem-solving under pressure. Now, as a computer science student at Emory University, I’m eager to channel those skills into creating innovative solutions, contributing to impactful projects, and pushing the boundaries of cutting-edge technologies.

More About Me

My journey into computer science has been shaped by both my military background and my academic pursuits. As a reactor operator and electronics technician in the Navy, I was immersed in a world where science and technology meet real-world challenges. The power of applying scientific principles to solve complex problems ignited my curiosity and passion for technology. At Emory University, I've embraced this passion by diving into courses like Machine Learning, where I explore how algorithms can transform data into actionable insights. Each class has not only expanded my knowledge but also reinforced my belief in technology as a tool for innovation.

Outside of the classroom, I enjoy hiking — having completed 1,000 miles of the Appalachian Trail, I find inspiration in nature's challenges. I also express creativity through filmmaking, having made three short films, and I play guitar, which allows me to unwind through music.


Expertise

Java, Python, C, Assembly, HTML/CSS, Machine Learning

View Resume

  • Leadership & management
  • Software development
  • Data analysis
  • Debugging & quality assurance
  • Technical communication
  • System level troubleshooting

Some of my past projects

Project 1
Autocomplete

Designed a program that streamlines texting by personalizing word recommendations to a user’s vocabulary.

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Project 2
Sorting

Constructed various sort programs to visualize and easily communicate efficiency differences for scalable data.

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Project 3
Rock, Paper, Scissors

Built a single, multi, or CPU vs CPU playable game demonstrating object-oriented programming proficiency.

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Project 4
Computing in Cardiology Challenge

Engineered a machine learning model that predicts patient's in-hospital mortality rates.

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