Dr. Serpil Tokdemir Yuce

SPEAKER INFORMATION

NAME:

Serpil Tokdemir Yuce

TITLE:

Research Project Analyst

AGENCY:

Office of Medicaid Inspector General – OMIG

AGENCY ADDRESS: (Please include zip code)

323 Center Street, Suite 1200
Little Rock, AR 72201

DEPARTMENT:

 

OFFICE:

 

OFFICE PHONE:

501 – 396 - 6332

OFFICE FAX:

 

LENGTH OF TIME IN THIS POSITION:

From May 2016 – June 2016 – part time
Since July 2016 – full time

LENGTH OF TIME DOING THIS TYPE OF WORK:

6 years

JOB RESPONSIBILITIES AND OTHER PERTINENT EXPERIENCE:

The mission of the Office of Medicaid Inspector General (OMIG) is to prevent, detect, and investigate fraud, waste, and abuse within the medical assistance program. My role includes;

  • Extracting raw data from FADS (Fraud and Abuse Detection System) Portal and MMIS (Medicaid Management Information Systems) and transform it into an understandable structure for further use
  • Cluster analysis – Anomaly Detection (Outlier/change/deviation detection) – Association Rule Mining (Dependency Modeling): Identification of unknown patterns of billing providers and beneficiaries
  • Predictive Analysis and Decision Support System
  • Data Visualization

Research tools I benefit from for my data analysis methodologies:

  • LIWC: Sentiment Analysis
  • ScraperWiki: Data extraction from Twitter
  • NodeXL: Network Analysis
  • Gephi & Tableau: Data Analysis & Visualization
  • Matlab – Statistical Tools: Data Analysis
  • Mysql: Database platform
  • Power Query – Excel: Data Analysis

CERTIFICATIONS/LICENSES/
CREDENTIALS:

Serpil Tokdemir Yuce obtained her B.S. degree in Computer Science from Marmara University (Istanbul, Turkey) in 2003. She completed her Masters Degree (MS) in Computer Science Department from Georgia State University in 2006 (Atlanta, Georgia - USA). She started her Ph.D. degree in Fall 2010 in Computer Science at University of Arkansas at Little Rock and graduated in December 2015.

ANYTHING ELSE YOU WOULD LIKE FOR YOUR AUDIENCE TO KNOW ABOUT YOU:

Serpil Tokdemir Yuce worked on a National Science Foundation (NSF) granted project throughout her PhD. program. She (UALR) has worked on numerous aspects of the research, including literature review from computational angles, exploration of various data collection and measurement issues, and development of social network mining and content mining concepts. Ms. Yuce used aspects of the project and the associated data for her dissertation. She defended her doctoral dissertation project on the concept of social movement spillover.