Data Quality

John B Gyamfi

*** ******* ******, ************, ** 19111

E-mail: *****@*****.*** Tel: 215-***-****

Objective: Operations Research Analyst position or Statistical Analyst

Education

• Fox School of Business and Management, Temple University, Philadelphia

Master of Science, Statistics, May 2011

• University of The Witwatersrand, Johannesburg, South Africa

Master of Science, Mathematics

• Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Bachelor of Science (Honors), Mathematics; Master of Science, Mathematics

EXPERIENCE

Rich Products Corporation, Burlington, New Jersey

Quality Assurance Technician, March 2008-March 2010

• Providing statistical consultation to nontechnical and technical personnel and collaborating with food scientists within the R&D.

• Assisting in selecting and implementing appropriate methods of data collection, summary, and analysis. Works with R&D staff to turn general research objectives into well-defined statistical and mathematical hypotheses. Determines whether the available data or the data to be collected will allow the hypotheses to be tested. Provide coordination and guidance for structured and unstructured data, data coding, editing , storage, data quality development, and training of staff

• Assisting in developing predictive models to drive production, retention, loyalty, consumer engagement, satisfaction and sustainable measureable quality metrics and continuous improvement related change. Communicating orally and in writing the effect of models in continuous improvement processes

• Providing support for SAP, MS Access, Data analysis and assigned tasks. Merging, transforming, and performing other large dataset configurations to produce customized SAS or R data files for specific tabulations and statistical analyses; Utilizing SQL and other related tools within an SAP environment for data warehousing.

• Using, SAS, R, S-Plus and Minitab, where appropriate, to analyze quality data to detect unsatisfactory trends or weaknesses in the quality/inspection system to determine the impact of upstream data changes, validate existing models against changed data. Computing data, summarizing results, and preparing reports or charts depicting pertinent relationships using statistical methods.

• Auditing, verification checks, laboratory tests, inspection, using sampling inspection or intensive product inspection techniques, that products comply with requirements prior to acceptance. Identifying inadequacies and requesting corrective action.

Coca-Cola Bottling Company, Philadelphia, PA

Quality Control Technician, December 2005- February 2008

• Providing statistical consultation to nontechnical and technical personnel. Assisting in selecting and implementing appropriate methods of data collection, summary, and analysis. Works with R&D staff to turn general research objectives into well-defined statistical and mathematical hypotheses. Determining whether the available data or the data to be collected will allow the hypotheses to be tested. Provide coordination and guidance for data coding, editing , storage, data quality development, and training of staff

• Assisting in developing predictive models to drive production, retention, loyalty, consumer engagement, satisfaction and sustainable measureable quality metrics and continuous improvement related change. Communicating orally and in writing the effect of models in continuous improvement processes

• Collaborating closely with staff in other departments with a view to strengthening the coordination of the plant’s data collection and statistical activities. Advising Team Leads, Supervisors, and some Managers on best technical, quantitative, and statistical techniques and methodologies.

• Providing support for SAP, MS Access, Data analysis and assigned tasks. Merging, transforming, and performing other large dataset configurations to produce customized SAS or R data files for specific tabulations and statistical analyses; Utilizing SQL and other related tools within an SAP environment for data warehousing.

• Using, SAS, R, S-Plus, Minitab, and SAP database management applications, where appropriate; to analyze quality data to detect unsatisfactory trends or weaknesses in the quality/inspection system to determine the impact of upstream data changes, validate existing models against changed data. Computing data, summarizing results, and preparing reports or charts depicting pertinent relationships using statistical methods.

• Auditing, verification checks, laboratory tests, inspection, using sampling inspection or intensive product inspection techniques, that products comply with requirements prior to acceptance. Identifying inadequacies and requesting corrective action.

World Communication Charter High School, Philadelphia, PA

Mathematics Teacher, August 2003 – January 2005

• Teaching content. Designing course content and determining the instructional objectives, method, techniques, technical accuracy and all materials to be used

• Providing technical advice on all aspects of mathematics training and development

• Providing guidance in the development of Individual Development Plans

• Designing and delivering programs related to mathematics education critical competencies

Computer Skills

• Microsoft Word, Power Point, Excel, SQL, Data Mining, SAS Programming, R-Programming, S-Plus Programming

• Statistics Courses taken with programming in SAS, R and S-Plus: Statistical Methods I& II, Mixed Models(Stat Method III), Time Series Analysis , Design of Experiments, Nonparametric Methods, Statistical Machine Learning, Generalized Linear Models

Independent Research Experience

• Conducted research in The Generalized Functions of Colombeau (Master of Science degree thesis, Kwame Nkrumah University of Science & Technology, Kumasi, Ghana)

• Conducted research in Multivariate Weighted Approximation and Orthogonal Polynomials (Master of Science degree dissertation, University of The Witwatersrand, Johannesburg, South Africa)

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