Senior Data Scientist
Shepherd Center
Asheville, North Carolina, United States
I am a highly experienced and successful system architect and data scientist with real-world Cloud, Big Data, Analytics Data, and Data Science applications for Shepherd Center Hospital, Ericsson, and Telcordia. I have had extensive prior experience with innovative product development and technology introduction, including acting as the lead architect of several launched products
As a senior data scientist working for a leading rehabilitation hospital designed, developed, and deployed a cloud-based big data platform for Mobile Rehab and Electronic Medical Record Systems. I received a multi-year grant to support this work. I am working in active collaboration with multiple universities and major commercial product companies such as Microsoft
As a product designer, I developed and deployed innovative complex applications running in the Cloud using Web Application Frameworks. Production versions of these systems have been in active use for over six years. These applications have been scientifically proven helpful to acquired brain injury consumers.
Working as a solution architect for a larger international telecommunications company, I developed innovative new analytic applications, delivering significant Data architecture and solution design and deployment. I led a team that produced a Proof-of-Concept Big Data Application and Data Science for Maritime IoT for a major Scandinavian container vessel operator/owner
Working as a hands-on data scientist, I did data-wrangling using Python Numeric Libraries such as Pandas. I have experience and knowledge of Machine Learning and Statistics, including tools such as SPSS and Scikit-Learn. My experience includes hands-on work with Hadoop Big Data, Cloud Computing, and surrounding Big Data ecology. I led Data Science Teams and worked with Data Science Researchers at Ericsson to develop cutting-edge Machine Learning models.
Sensors and Remote Monitoring in Clinical Care: A Glimpse at the Possibilities
Tuesday, October 31, 2023
1:30 PM – 2:30 PM
Emerging Cutting-edge Big Data and Related Applications Delivering New Paradigms for Care
Wednesday, November 1, 2023
10:45 AM – 11:45 AM