Sung Kim is a Data Associate at Dobson | DaVanzo. He has broad experience in data management, data analysis, data validation, and system support. Currently, Sung is working with ACO (accountable care organization), and other identifiable data in the CMS Virtual Research Data Center (VRDC), and analyzing and validating data for providers and beneficiaries. Other projects include data warehousing and compiling and analyzing CMS files for Bundled Payments for Care Improvement (BPCI), replicating the Home Health Groupings Model (HHGM), fulfilling ad-hoc requests from clients to produce descriptive and other statistics. Mr. Kim recently completed a study that describes the current state of wound care in Medicare by wound type.
In addition to Mr. Kim’s technical background, he has experience as a Business Analyst. Prior to joining Dobson | DaVanzo, Mr. Kim was a SAS Programmer/Data Analyst for a large technology consulting company. He planned, designed, and created SAS datasets, which helped build multiple models for clients and will support future model designs and shorten development turnaround time for future releases. Sung was also responsible for creating the design, build, and maintenance of SAS datasets required for analytical purposes such as population segmentation and targeting, historical/predictive modeling, and metric measurement read-outs. Mr. Kim worked with government contractors where he served as a liaison between the client and a team of developers. He “owned” implementation of several functionalities/products for different projects and led a team of developers throughout the whole life cycle of a functionality/product, to deliver and release new enhancements and improvements.
Mr. Kim earned his Bachelor of Science degree in Finance from George Mason University