Supply Chain Insurance
Resume:
MARINA E. JOHNSON
****************@*****.***
Columbus, OH 43221
Objective
To obtain a challenging position in a company which I can engage and excel in by utilizing advanced data
mining, optimization, and other analytical methods in order to enhance the quality, efficiency, and profitability
of the organization.
Professional Expertise
Data Analysis Extensive experience and passion in applying machine learning, univariate and multivariate
statistical models in both industry and academia
Optimization Vast proficiency in utilizing heuristic and mathematical modeling to solve complex
optimization problems
Simulation Expertise in discrete-event, Monte-Carlo, and agent-based simulations to model complex,
stochastic systems
Business Over 5 years of experience developing team work, leadership, communication skills in
Acumen industry
Education
Ph.D., Dec’ 2014 Industrial and Systems Engineering, State University of New York at Binghamton.
Dissertation title: A Three Stage Framework to Detect Health Insurance Fraud
M.S., Jun’ 2010 Management Science, DEU University, Turkey. Thesis Title: A Heuristic Optimization
Model for Product Clustering and Scheduling Problems
B.S., Jun’ 2007 Industrial and Systems Engineering, Gazi University. Senior Design Project: A Heuristic
Optimization Model for Solving Facility Layout Problem
Professional and Research Experience
Research UHS Hospitals - WISE SUNY Binghamton
• Worked on Patient Scheduling to reduce the effects of delays and no-shows. This
Assistant
Aug'10 - May'14 study increased productivity and utilization by using optimization models
• Designed a predictive model for the risk of breast cancer. This framework is used by
clinicians to evaluate patients. Significantly improved accuracy rate of model to
88%
• Predicted insurance claim denials using data mining methods, which was used to
increase reimbursement rates
Operations Hugo Boss, Germany-Turkey
• Focused on projects related to optimization of supply chain and operational systems
Analytics
Consultant • Worked on supply chain processes, such as demand, delivery, and inventory
Jun'07 - Jul'10 planning
• Implemented delivery and inventory optimization projects. Decreased inventory
holding cost by 5%. Increased on-time delivery rates by 12%
• Worked on marketing classification and customer profiling projects. Increased sells
in pilot cities by 7%
• Focused on product classification to optimize production scheduling. Increased job
shop productivity by 15%
Operations Bosch, Turkey
• Predicted demand fluctuations to optimize production plans. Decreased the gap
Analytics Intern
between demand and supply by 11%
• Worked on order cycle times and batch sizes. Implemented a dynamic batch size
based production plan. Decreased lead time by 7%. Increased on time delivery by
Jun'05 - Jun'07 4%
• Worked on a project to optimally consolidate distribution centers. Decreased fixed,
inventory, and operational costs
Computer Skills
Programming: Java, C, C++, C#, Python, Matlab Statistics: R, SAS, Minitab, SPSS Optimization: Arena,
Lingo, Gams Database: SQL, Microsoft Access, Oracle Hyperion Productivity: Microsoft Office Applications
Professional Certificates
Lean Six Sigma Black Belt and Green Belt, Dartmouth College, 2012 & 2011
Professional Societies and Activities
• Alpha Pi Mu, Industrial Engineering National Honor Society (by invitation), 2011-Present
• Institute of Industrial Engineers, Member, 2010-present
• SUNY Binghamton, Systems Science and Industrial Engineering Graduate Student Organization, President,
2012-2014
• SUNY Binghamton, European Student Association, Senator, 2010-2012
Selected Research Publications
• Johnson, M.E. and Nagarur, N. Multi-Stage Methodology to Detect Health Insurance Claim Fraud. Journal
of Healthcare Management Science, January 2015.
• Han, Y., Johnson Yuzgec, M.E., and Khasawneh, M. An Artificial Intelligence Approach for Breast
Cancer Early Risk Assessment. ISERC, San Juan, Puerto Rico, May 18-22, 2013
• Alazzam, A., Johnson, M.E., and Lewis, H. A New Optimization Algorithm for Non-Convex Problems.
ISERC, San Juan, Puerto Rico, May 18-22, 2013
• Norouzzadeh, S., Johnson Yuzgec, M.E., Yoon, S.W., Khasawneh, M., and Srihari, K. A Data Mining
Approach to Adjust Health Insurance Premium. Industrial and Systems Engineering World Conference,
Washington, DC, September 16-18, 2012
• Han, Y., Johnson Yuzgec, M.E., and Khasawneh, M. Breast Cancer Early Risk Assessment Using a Fuzzy-
Neural Network Hybrid Approach. Industrial and Systems Engineering World Conference, Washington,
DC, September 16-18, 2012
• Johnson Yuzgec, M.E., Alazzam, A., and Nagarur, N. Assessment of Manufacturing Lead Time Using
Neural Network Analysis. ISERC, Orlando, FL, May 18-21, 2012
• Johnson, M.E. and Nagarur, N. Association Rule Learning and Genetic Algorithms to Detect Health
Insurance Fraud. Journal of Healthcare Management Science (Under Review)
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