Matthias Rathbun

Hello! I'm Matthias, a passionate and dedicated Data Scientist with a strong foundation in data analytics, machine learning, and statistical modeling. I hold a B.S. in Data Science and Statistics from the University of Central Florida, where I delved into the complexities of database management and predictive analytics.

My professional journey began at D1.AI, where I led the development of advanced data extraction and computer vision techniques using tools like PyTorch and OpenCV. My role involved the intricate integration of data pipelines into machine learning projects, ensuring efficient data processing and model optimization. I thrive in environments that challenge my technical abilities and allow me to push the boundaries of what's possible with data.

Beyond my technical skills, I am a strong advocate for teamwork and collaboration. My experience in managing resources using Proxmox and containerization with Docker highlights my ability to lead and work within dynamic teams. I believe in the power of data to drive decisions, transform operations, and create impactful solutions that resonate on a larger scale.

In my downtime, I enjoy exploring the latest trends in technology, dabbling in coding projects, and contributing to online data science forums. I'm always eager to learn new skills and stay abreast of emerging industry developments.

I'm excited to bring my blend of technical expertise and collaborative spirit to a team that values innovation, quality, and impactful results.

Founder & Data Scientist at D1.AI: Led development in data extraction and computer vision analysis using PyTorch and OpenCV. Specialized in integrating complex data pipelines into machine learning projects.

Researcher at Cyber Threat Intelligence Lab, Florida Atlantic University: Developed deep learning architectures for IoT device classification. Created MVPs for the IPGeo platform, enhancing geolocation and real-time data visualization.

Technical Skills: Proficient in Microsoft SQL, PostgreSQL, database normalization, Docker (for containerization), and Proxmox (for team resource management).

Project Experience: Includes predictive modeling for surgical proficiency, leading a pediatric nephrolithiasis growth study, and innovating in IoT device fingerprinting through convolutional model performance analysis.

Educational Background: Hold a B.S. in Data Science and a B.S. in Statistics from the University of Central Florida. Completed coursework in Database Management, Machine Learning, and Statistical Analysis.