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Statistician/Data Scientist

Location:
Sterling Heights, MI
Posted:
March 04, 2017

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Resume:

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



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