Summary

A team player with a passion to capture knowledge, improve creativity, construct computer models, question existing patterns and introduce new technology. My experience in environmental science, decision analysis and advanced computing is combined with a strong personal commitment to continual learning, knowledge sharing and coaching others.

Technical and business consultant, advanced systems design, knowledge management, decision support, statistical analysis and expert systems. Project leader: Forestry Information Systems. SAS, PC expert systems, Hypertext, Internet, HTML, GIS, and MCDM. Environmental surveys, soil interpretation and land evaluation. Teaching, research, scientific publications, presentations and technical innovation.

Developed the Planting Advisor, largest commercial expert system in Africa., using fuzzy logic it matched tree types to markets and soils. Roles: expert, project leader, programmed prototype.

Constructed systems to interpret soil auger logs, added value to past investments in land evaluation surveys. This GIS was integrated with INFORMIX in a client-server environment.

Designed applications to monitor transport costs, schedule, budget and justify forest road repairs. Planned and implemented the Site knowledge repository, conducted intellectual audits, classified tacit and explicit knowledge. This system gives access to team skills and increased productivity 40%.

Knowledge acquisition & processing:

Modeled fire risk using the Analytical Hierarchy Process, reducing insurance costs 25% and changed the basis for premium calculations from a static to dynamic.

Established spatial rules for the evaluation of structures (firebreaks, lookout towers and water points) leading to savings and fixed asset reductions. Created the first case-based reasoning (CBR) application in South African forestry to track harvesting software.

Decision making:

Designed and delivered knowledge bases for help desks using decision trees. (Support of mainframe systems, diagnosis of camera failures and notebook computers). Benefits: speedy delivery of optimum solutions , improved quality of after hours service, enabled new staff to become productive faster.

Computer modeling:

Developed computer models for tree growth prediction and analysis of fertilizer experiments using regression analysis and mixed model techniques in SAS. This improved the forecasting accuracy by 23% and speeded the analysis procedure 20% by using macros.

Employment History

1996-1997 SAS Data Analyst, Eli Lilly and Company, Indianapolis. (Medical trials consulting)

1995-1997 President, GreyMatter, Inc., Indianapolis, Indiana. (Knowledge management)

1994-1995 Knowledge Engineer, ServiceWare Inc., Oakmont, Pennsylvania. (Help desk consulting)

1987-1994 Manager Silviculture, HLH Research Division, Natal, South Africa. (Internal consultant)

1979-1987 Specialist Researcher, South African Forest Research Institute.George (Project leader)

1975-1978 Working Plans Officer, Forestry Department. (Forecasting tree growth)

1972-1975 Regional Forest Officer, Transkei. Department of Agriculture & Forestry. (Management)

Skills

Computers: BASIC, FORTRAN 77, SAS (base, macros), Windows, DOS, expert systems (EXSYS, VP Expert, dmX), induction (C4.5, ID3), CBR (Remind), GIS (REGIS), hypertext (HyperWriter).

Statistics, modeling & simulation: curve fitting, splines, advanced regression, Weibull and related distributions, exploratory data analysis, geostatistics, multivariate techniques (ordination, discriminant and cluster analysis), categorical, conceptual, stochastic and deterministic models.

Knowledge management: internet, data modeling, diagnostics, business rules, conceptual maps (Inspiration), idea generation (Idea Fisher), corporate memory, knowledge audits, intellectual capital.

Research administration & project management: (TimeLine, scheduling, resource leveling, goal evaluation, team building, information retrieval, budgets, proposals and scientific review).

Decision making and help desks: Expert Choice, MCDM, decision trees, DAG, classification and heuristics, custom knowledge bases for problem solving and knowledge sharing (Expert Advisor, intranets, HTML).

Environmental surveys: land classification and evaluation, soil, climate and vegetation mapping.

Education

Ph.D. University of Stellenbosch
1987 Cape, South Africa.
Major: Computer Modeling


M.Sc. University of Natal
1978 Pietermaritzburg, South Africa.
Major: Land Classification, Biological Statistics


B.Sc. University of Stellenbosch
1972 Major: Forest Management

Addendum to resume of Denham C. Grey

Started working with SAS in 1978 to capture and analyze data for my MS degree. Continued to use SAS heavily for my Ph.D. which was completed in 1987. Used SAS on the mainframe (IBM 360) over an SNA network. I was responsible for the design, programming and debugging of scientific SAS applications for the research station.

Current:

Eli Lilly and Company, Medical Systems, April 1996 - present
Construction of specialized data sets to facilitate statistical analysis of clinical trials. Checking the data using business rules and statistical routines, custom formats, transpose vertical data from DB2 storage and assist statisticians with preliminary data screening.

Recent work:

Bayer Corporation, Central Construction and Property Accounting Division, February-March 1996, SAS V6.08.
Reconcile capital spending, reading data from TSO flat files and multiple record formats. Used Input and Put statements with nested do loops to write custom reports, completed indexed merges and optimized existing programs through the elimination of unnecessary steps, reduction of variables and combination of Data steps. Constructed rules to track incorrectly allocated capitalized expenditure and identify relevant journal entries.

Applications:

Data management:

Read in variable length records which were sorted, merged and subset as required. SAS data sets were stored in libraries. Worked with numeric and alpha-numeric data types. Familiar with the manipulation data sets, operations to merge, subset and update observations, the creation of permanent files, formats, and interpretation of the SAS log.

Have used all the common SAS procedures for examining data (scatter plots, summary statistics, testing distributions, exploratory data analysis) on some very large data sets (300 000 obs.). Advanced statistics including logistic regression, multivariate and categorical analysis were applied to multiple data sets. Model building using classification, discriminant analysis, regression (linear and non-linear), categorical analysis and mixed models.
Made extensive use of SAS Macros to speed analysis and do repetitive analyses. I have analyzed designed experiments using ANOVA and MANOVA techniques, fitted and tested distributions and curves including splines.

Data modeling, exploratory data analysis, regressions and data set manipulation. Approached by colleagues for help with debugging, experimental design and statistical interpretations.

Highly proficient with data manipulation, statistics and model building using mainframe (IBM) SAS under TSO, VMS using ISPF. Do not anticipate the adaption to PC SAS will present any problems.