Mark Ireland
Ann Arbor, Michigan, 48104
(313) 549–8937
acy4c8@r.postjobfree.com
Summary
Mr. Mark Ireland is a skilled statistician with experience in predictive modeling, Advanced Analytics, and custom creation of mathematical and statistical models.
Developed reports and constructed statistical models using SAS that analyzed professional claims data.
Developed state-of-the-art statistical models to measure utilization for the identification of audit candidates for further deep dive data analytics
Executed statistical models which helped prioritize business leads, and provided survey analytics and design for the Marketing Team, and statistical models useful for marketing attribution.
Research into best CRM practices, and those statistical techniques and metrics that best render metrics for valuable input
Technical Skills
SAS, R, SQL, Expert MS Excel, et. al.
Multiple linear regression and logistic regression
Generalized Linear Models
Decision trees, Random Forests, CART and CHAID
Time series and forecasting, seasonal ARIMA and smoothing models
Machine learning techniques, including neural networks and Support Vector Machines (SVM)
Multivariate and Cluster analyses
Marketing segmentation techniques, choice models, consumer research models
Customer Lifetime Value Models (CLV), retention models, Survival Analysis coupled with Decision Trees
PROFESSIONAL EXPERIENCE
Comcast Spotlight
Business Intelligence Analyst
October 26, 2015 to September 20, 2016
Used historical revenue data to develop forecasting models to aid in the budgeting process and to develop forecasts
Using SAS products, I am developing models that measure client retention, lifetime value, and Customer Relationship Management (CRM) protocols
Arent Fox, LLP
Contractual Expert Statistical Consultant
December 2013 to present
Provided statistical consulting with a focus on audit sampling and projection recovery using Medicare paid claims data
Developing sampling methodologies that accurately estimate Provider responsibility
NCI/AdvanceMed
Contract Senior Statistician, Medicare
April 27, 2015 – July 16, 2015
Used multivariate statistical modeling to fight Medicare fraud, waste, and abuse and developed predictive analytics
Quicken Loans
Statistical Analyst/Data Modeler, Market Research Team
August 20, 2012 to February 23, 2015
Developed statistical models to prioritize business leads, support market research efforts, and built statistical models to identify market segments. Using R I developed logistic regression models that predicted which customers would be most likely to become leads
Worked closely with internal marketing and mortgage banker clients to ensure the integrity of statistical models that are used for marketing attribution, using parametric and non-parametric approaches such methods as survival analysis and Classification and Regression Trees (CART). I used SAS JMP to develop series of decision tress that followed the pathways of digital encounters that best predicted the probabilities of becoming a solid lead. These models helped the Marketing department determine how much money to allocate to their banners on webpages.
Designed and executed statistical models which helped prioritize business leads for the mortgage bankers at One Reverse Mortgage. Using R I built logistic regression models that provided a prioritization methodology so that the business knew where to focus their efforts, what training the mortgage bankers needed, and where there was opportunity for improvement
Provided survey analytics and design for the Marketing Team, and statistical models useful for marketing attribution.
United Health Group-Optuminsight
Principal Statistician
July 25 2011 to March 20, 2012
Developed reports and constructed statistical models using SAS that analyzed professional claims data. I used SAS to summarize large datasets so that there was more direction into how to best use predictive modeling techniques.
Health Plan of Michigan
Senior Medical Management Analyst
March 28 2011 to July 22 2011
Developed reports, graphs, and statistical analyses for a Michigan Medicaid HMO. Here I relied on Excel to produce tables and graphs that were useful for Senior Management to make decisions regarding what steps were necessary to improve the health care for Michigan Medicaid patients
SafeGuard Services, LLC (SGS)
Statistician
July 9, 2007 to March 18, 2011
Designed innovative predictive models to identify aberrant Medicare providers across all task orders. I used SAS and SAS Enterprise Miner to develop state of the art statistical models and machine learning models such as Neural Networks to identify thos providers that were at risk of abusing the system.
Drew statistically valid random samples for the State of Florida.
Performed ad hoc statistical analyses. These analyses could be drill-down statistically descriptive tables and graphical displays that outlined a provider’s performance, and included complete interpretation of their performance
During my tenure at SGS I gave a seminar to the Miami Field office where I instructed their entire staff of Administrative Law Judges on the proper use of statistical sampling. The Department of Health and Human Services awarded me for this effort
Wellpoint, Inc.
Lead Data Mining Statistician, Statistical Analyst III
February 2002 to July 6, 2007
Led a team of data mining analysts to support the Benefit Integrity (BI) and Medical Review (MR) departments of a Durable Medical Equipment (DME)
Mined a large data warehouse to search for suspicious provider practice patterns.
Worked with Federal law enforcement to assist in identifying DME providers that were fraudulently billing Medicare and conducted audit samples for projected provider overpayments.
Provided the MR department with statistical analyses that helped drive medical policy.
Worked closely with WellPoint’s Medical Directors to provide statistical analysis that would identify Providers whom might benefit for Provider education on proper usage of procedure codes.
Gained a significant amount of medical knowledge from working with the Medical Directors.
Gave presentations to the Centers for Medicare and Medicaid Services (CMS), outlining innovative statistical models and data analysis techniques.
Developed state-of-the-art statistical models to measure utilization for the identification of audit candidates and to drive medical policy.
I was actively involved in the Annual Medicare & Medicaid Statistics Conferences, where I was a speaker at many Nationwide conferences
Health Care Excel
Surveillance Utilization Review (SUR) Statistician
December 2000 to February 2002
Provided the SUR department with statistical support to identify, sample, and audit Indiana Medicaid providers.
Developed statistical models that assisted in the development of medical policies.
Provided statistical consultation for ad hoc projects and served as a statistical expert for the State of Indiana in defense of audit sampling methodologies.
Blue Cross of Northeastern Pennsylvania
Manager, Statistical Services
December 1995 to July 2000
Led a team of statisticians to support the Quality Management department
Used statistical design and implementation of all outcome studies and quality improvement activities (QIAs); statistical support of all quality of care and customer service initiatives as prescribed by the National Committee for Quality Assurance (NCQA).
Developed utilization management profiling models to measure over- and under- utilization and to track provider performance across specialties and regional teams.
EDUCATION
M.A., Statistics, University of Michigan, Ann Arbor, MI
B.S., Statistics, University of Michigan, Ann Arbor, MI