ATL International, Inc. provides energy, environmental, safety and health, and information technology services to government and private industry.
Responsibility spanned three principal areas: Data Quality, Software Development and Documentation/Testing. Supervised a documentation specialist, test engineer, systems analyst and several software developers. Duties included:
Data Quality: Developed and implemented the persistent use of quantitative “quality indicators” to provide both a means by which to document data quality improvements and to detect instances of data corruption and thereby avert disruption of business activities. Overall improvements in data quality of 90% were achieved over the first year of the project. Subsequent years had an error rate of less than 3%. [For a more complete descripton of this project: http://aworauniosh.blogspot.com/ ]
Software and Business Development: Responsible for the development of several document and management-focused tracking systems, including requirements gathering and data mapping. These systems offered access to electronically stored documents and “status” information for geographically dispersed project staff. Application development and architecture included a tight coordination between document files and SQL databases, the coordinated use of Adobe Acrobat and Microsoft Outlook and custom-developed Graphic User Interfaces. [For an example of one such project see: http://awdevelteam.blogspot.com/]
Design and Build Data Repositories: I worked with a government client to clarify their longer-term research needs and to establish a data model and set of requirements that would allow for the aggregation and restructuring of data, originally collected for case assessments, so that they would also be compatible with research and other management objectives. The implementation strategy took into consideration budgetary limits, time constraints and impacts on current production-level activities. Although there was a concern that the project might interfere with ongoing data capture, the end result was that data capture activities were streamlined and data quality was improved by the steps taken. [For more details of this project see: http://awdatarepository.blogspot.com/]
