Kari Sigurjonsson
About Kari Sigurjonsson
Kari Sigurjonsson is a Data Engineer at Nox Health, where he has worked since 2020. He holds a Master of Science in Electrical and Computer Engineering from Georgia Institute of Technology and has experience in data analysis and software development.
Work at Nox Health
Kari Sigurjonsson has been employed at Nox Health as a Data Engineer since 2020. In this role, he operates in a hybrid work environment located in Suwanee, Georgia. His responsibilities include generating Power BI reports that analyze team proficiency and efficiency, which contribute to a company dashboard for trend analysis and bottleneck identification. Additionally, he ensures data accessibility for internal teams by developing and maintaining API endpoints.
Education and Expertise
Kari Sigurjonsson holds a Master of Science in Electrical and Computer Engineering from the Georgia Institute of Technology, which he completed from 2020 to 2022. Prior to this, he earned a Bachelor's degree in Electrical and Electronics Engineering from Georgia Southern University, studying from 2016 to 2020. His educational background also includes a year at Georgia State University from 2015 to 2016 and a high school diploma from Milton High School, achieved from 2012 to 2016.
Background
Kari Sigurjonsson began his career with an internship at Nox Medical in 2016, where he worked for two months in Reykjavík, Iceland. He also gained experience as an IT Support Specialist at FusionHealth in 2019 for three months in the Greater Atlanta Area. Additionally, he completed a data analyst internship at FusionHealth for one month in Boulder, Colorado, in 2018, and worked as a Sales Associate at Office Depot for two months in Roswell, Georgia, in 2018.
Projects and Contributions
Kari Sigurjonsson has contributed to various projects throughout his career. He worked on an audio source separation project utilizing deep neural networks and was involved in a project focused on diabetic retinopathy grading using convolutional neural networks and support vector machines. He also developed a scheduling tool for remote telemedicine appointments that tracks physician availability and license expiration across all U.S. time zones.