Project Manager Quality Assurance

A runice Wilbon

Advanced Analytic Summary:

Expertise in applying scientific methodologies and tools, data mining, advanced statistics,

operational research, large-scale implementations and recommendation engines. Have

experience operating in the highest levels of management to provide quantitative support to

decision makers, and extensive experience managing multiple people, projects, and direct

reports

Proven success in applying extensive knowledge in the area of statistical and demographic

research and analysis to t raining, application, and extensive knowledge in the areas of

P redictive Modeling. Recognized for leadership and relationship building with diverse

clientele, from upper management to t rainees to clients, as well as success at identifying

and resolving complex business issues. Adapt at quickly learning and applying new concepts

and technology.

Technical Aptitude:

P redictive Modeling, M ix Modeling, Logistics Regression, Neural Networks, Applied

Sampling Theory, Data M ining, Design of experiments(DOE), Multivariate Statistics, Large

Scale Implementation/w Big Data, Decision Tree Regression, CHAID, Cluster Analysis,

Bayesian Methodology, Model Validation,

SAS/BASE, SAS/MACRO, SAS/STAT, SAS/SQL, SAS/MCS, SAS/ETS, SAS/GRAPH,

SAS/QC

Professional Experience:

Lead Statistician/Predictive Modeler

Lockheed-Ma rtin Corp. thru Social Security Administration, Woodlawn MD

01/2011-Present

• Develop, analyze and evaluate proposed modeling with regards to experimental

design and statistical analysis.

773-***-**** ********@*******.***

A runice Wilbon

• Improved the Accuracy of the Continuing Disability Review (CDR) model using Rare

E vent Modeling/Neural networks techniques (Cascade Correlation) with Naïve Bayes

t heorem.

• Apply statistical theory, principles, and decision t ree regression (DTREG) to range of

medical staffing for the CDR determination processes.

• Serve as statistical subject matter expert and user in the development of the CDR

models.

• Perform individual research and/or direct other mathematical statistician in

p lanning, initiating, implementing and analyzing statistical research projects in the

a reas of quality measures, and procedures appropriate for large scale modeling

activities and their applications to quality assurance.

• Prediction of multiple classes using Logistic Regression in a binary protocol instead

of a one shot cumulative logit, which gives a biased prediction in favor of the

majority class using SAS.

• Extensive work with large databases containing over 2 million records across several

h undred variables. Utilized production environment to build over 30 predictive

models per month, for over 10 clients. Brought innovative ideas such as new

m ultivariate modeling techniques and provided knowledgeable interpretations of

results for the Executive teams and clients.

Lead Statistician

United States Census Bureau, Chicago I L

09/2009-09/2010

• Ut ilizing the Smart Suite Data Dashboard, daily Census 2010 response rates were

monitored nationally down to a local census t ract level.

• Gave briefing on critical data findings, which enabled managers to immediately

i nvestigate low response patterns and address problems promptly.

• A pplied Cluster Analysis Injunction in joint projects with the Geography

Department, areas within the Midwest counties were clustered using demographic

773-***-**** ********@*******.***

A runice Wilbon

variable to establish “hot t racts” (areas that had a response rate less than 43%).

• Designed Surveys to obtain data and/or t rends on how residents in different clusters

participated in the census.

• Statistical methods such as ANOVA, Logistic Regression, Cluster and Survey

A nalysis employed to interpret data to provide critical information to response

teams.

Statistician

Northeastern I l l inois University, Chicago I L

03/2006-09/2009

• Analyzed Historical data using SAS to determine patterns/trends in enrollment.

• Used Logistic Regression to estimate student’s success rate in completing an

u ndergraduate degree within the standard four years.

• P repared Annual student profile report with statistical analysis on variables such

as demographics, dropout rates, tui tion, course data, degrees conferred, etc.

• Developed a Logistic Regression Model that created a better/efficient University

recruitment process. Logistic diagnostics were analyzed using SAS.

M ath I nstructor

Olive-H a rvey College, Chicago I L (Adjunct I nstructor)

08/2004-08/2005

• Inst ructed classes ranging from remedial to advance levels: calculus, differential

equations, and probability.

• Developed expertise in using technology for teaching and learning.

• Enhanced Analytical thinking and problem solving skills.

• Demonstrated the ability to develop rapport with a diverse mix of college students

u nderstanding the skills needed to motivate and guide them.

773-***-**** ********@*******.***

A runice Wilbon

Confi rmation Analyst

Bank of America, Chicago I L

09/2003-08/2004

• Monitor day-to-day t rade activity/confi rming swaps and options t rade tickets.

• Prepare outgoing and/or review incoming Confirmations documented under

I nternationals Swaps and Derivatives Association (ISDA) and like Industry.

• Analyzed Trade Economics (Oil, Kerosene, Gasoline, etc.) data for New York,

London, and Singapore using ISDA guidelines with attention to detail preventing

B illions of loss dollars due to inaccurate t rades.

• Assisted in the development of a Time Series/Logistic Regression model to t rack

t rends (Highs and lows) of t rades on a weekly basis.

Project Manager/Data Analyst

I nformation Resources I nc. ( IR I), Chicago I L

03/1996-08/2003

• Supervised a team of data analysts in working on the Vanilla Coke Project. Tasks

i ncluded collecting data, designing surveys, and applying Logistics Regression, SRS,

and Nonparametric methods using SAS.

• Conducted both quantitative and statistical analysis on CPG data.

• Responsibilities required the strategic creation of spreadsheets and graphs, which

were used to document noted variances with respect to market and/or regions using

SAS/GRAPH.

• Lead Quality Control team, f lawless in the data loading process resulting in

i ncreased bonuses for Management.

Education:

DePaul University, Chicago I L M.S. Statistics 3/2004

773-***-**** ********@*******.***

A runice Wilbon

University of I llinois at Chicago (UIC) B.S. Mathematics 6/1989

773-***-**** ********@*******.***

Contact this candidate