Engineer Six Sigma

Terri L. Moore

*** ******** ***** ****: 512-***-****

Cedar Creek, Texas 78612 *****.********@*****.***

SUMMARY

Statistical and DataMining professional with outstanding ability to solve

problems quickly and effectively. An extensive knowledge in a wide range

of applied statistical methods and statistical software. Interested in

applying my statistical, datamining, and training expertise to improve

manufacturing and process performance.

CORE COMPETENCIES

SAS 8 programming Data Mining methods Complex problem-solving

JMP 6 Training / mentoring Systems organization

Interpersonal Skills Course Development Corporate Training

Six Sigma Systems Automation Technical Writing /

Presentations

Attention to Detail

PROFESSIONAL EXPERIENCE

FREESCALE SEMICONDUCTOR, Austin, Texas 2005 - 2007

Principal Staff Engineer / Scientist

. Developed, applied and supported the use of statistical methods and

SAS data-mining tools to identify and quantify yield loss mechanisms

for current technologies.

. Directly responsible for developing and testing automated SAS web-

based tools that encompass database queries and storage, analysis

methods with summarization and report generation, reducing engineering

workload

. Increased production efficiency and reduced engineering workload by

transferring and updating automated analysis systems from other

manufacturing sites.

. Served as primary statistical consultant for the manufacturing and

research and development communities. Designed and analyzed experiments

and monitoring techniques that extended material and tool lifetimes, and

reduced manufacturing costs.

MOTOROLA, Austin, Texas 1998 - 2005

Principal Staff Engineer / Scientist

. Developed and rolled out Six Sigma courses company wide, training

managers, reducing cycle time, and increasing efficiency in

manufacturing.

. Directed and mentored engineers and managers on project work for Green

Belt and Black Belt certification.

. Managed project that introduced and installed a vendor's wafer-level

randomization and tracking analysis system into manufacturing

resulting in the ability to quickly identify malfunctioning tools and

decrease costs.

. Served as Statistical Subject Matter Expert on the Process Control

Council.

MOTOROLA Assignee to SEMATECH, Austin, Texas 1996 - 1998

Principal Statistician

. Provided general statistical consulting to all areas of process

engineering, resulting in increased equipment lifetimes, reduced

consumable expenses, and improved device performance.

. Developed and delivered training in advanced statistical methods to over

200 member company engineers and managers.

. Transferred and updated all statistical methods courses from one

statistical software package (RS1) to another (JMP)

. Introduced and established new statistical methodology for the design and

analysis of complex Response Surface designs.

SEMATECH, Austin, Texas 1995 - 1996

Intern with Statistical Methods Group

. Consulting: All areas of process improvement. Methods Applied:

classical factorial and response surface designs, mixed models, repeated

measures designs, non-linear models, and variance component analysis.

. Training: Taught Introduction and Intermediate DOE.

. Course Development: Advanced DOE class (with Prof. George Milliken).

Co-chaired the annual SEMATECH Statistical Methods Symposium.

. Research: Established new methods for designing and analyzing lack of fit

tests for mixed models, resulting in more accurate and reliable

hypothesis tests for certain production processes.

Education

Ph.D. Statistics, Kansas State University, Manhattan, Kansas

Lack of Fit Testing and Goodness of Fit Measures in Mixed Models

M.S. Genetics, Michigan State University, East Lansing, Michigan

B.S. Biology, Cornell University, Ithaca, New York

CERTIFICATIONS

Certified Motorola Six Sigma Black Belt

Certified Instructor, Motorola University.

Certified Master Instructor, Motorola University.

ADDITIONAL INFORMATION

Statistical Areas of Expertise

General Linear Models Repeated Measures Categorical Data

Analysis

Mixed Models Logistic Regression Messy Data Analysis

Classification Trees Analysis of Covariance Gauge Studies

Variance Component Standard Design of Split-plot and

Estimation Experiments Strip-plot designs and

analysis

Non-Parametric Methods Non-Linear Models Time Series Analysis

Publications / Presentations

T. Moore (2003) Review of SAS for Linear Models, 4th Edition, by R. Little,

W. Stroup, R. Freund, Technometrics: 2003.

T. Moore (2001) Review of Regression by Example, 3rd Edition, by S.

Chatterjee, A Hadi, and B.Price, Technometrics: May 2001, 43, 2

T. Moore ASA Joint Meetings Invited Session, Section on Physical and

Engineering Sci., An Overview and Evaluation of Decision Tree Methodology

in the Semiconductor Industry, August 2001. Contributing authors: C.

Jesse, R. Kittler.

T. Moore, C. Jesse, R. Kittler, An Overview and Evaluation of Decision Tree

Methodology, ASA Quality and Productivity Research Conference, May 2001.

T. Moore, ASA Joint Meetings Invited Session, Section on Physical and

Engineering Sci., Special Problems in Applying DOE to the Semiconductor

Industry, August 2000.

Contributing authors: G. Milliken, A. Stephen.

NIST Engineering Statistics Handbook, D-Optimal Designs, Restricted

Randomization Designs (Split-Plot and Strip-Plot Designs), Mixture Designs

http://www.itl.nist.gov/div898/handbook/

M. Brown, AA. Brightman, M. Butine, T. Moore, 1997, The Phenol Red Thread

Tear Test in Healthy Cats, Veterinary and Comparative Ophthalmology, Vol.

7, N0. 4.

T. Moore, 1997, A Review of Analysis of Covariance Methods, Motorola Black

belt Symposium, Austin, TX.

D. Ballard, D. McCormack Jr., T. Moore, J. Prins, P. Tobias, M. Pore, 1997,

A Comparison of Gauge Study Practices, Proceedings on Quality and

Productivity Section, ASA.

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