Expert in scientific research methods, SAS/SPSS and statistics.

Referenznummer KDNR. 010

Birth year:   1963

Languages

German: Mother language

English: Very good spoken and written

Italian: „Good“, Certificate of the Sprachlabor of Heidelberg University;

French: basics

Chinese: basics

Education / Studies

Diploma in Psychology (focus: research methods and statistics) at Heidelberg University.

Dr.phil. at the Martin-Luther University Halle-Wittenberg

“Cluster Analysis using SPSS”, rated “magna cum laude” (1,0).

Core Competencies

Management Focus: Projects, People, Partners, Products; Business Cases/Processes.

Business Focus: Clients, Projects, Data Volumes, BI, Competitive Intelligence, Data Quality.

Academic Focus: Scientific Approaches, Research Methods, Data Mining/Analysis, Construction of Knowledge. Major Systems: SAS and SPSS incl. Programming (BASE, SQL, Macro etc.).

Management Focus

Experience: History of successfully managed scientific/business projects available.

Training: Self-taught PMBOK know-how. “Catalyst” (CSC Switzerland). On the job.

Domains: CEO, self-owned company. Strategic Position in Media Research department at insurance Switzerland.

Business Focus

Construction of knowledge: Competitive / Business / Decision Intelligence

Scientific Consulting: incl. Concepts, consulting, lecturing and presentation

Scope of Methods: Advanced Analytics,  Data/Business Process Reengineering, Six Sigma (DMAIC, FMEA, VOC/VOP), Evaluation, Data Mining, Predictive Modelling, Time Series Analysis

Visualizations: Implementations   (“dashboards”, “cockpits”), graphs (“fixed pictures”), animations (“moving pictures”), tables and listings, single parameters and measures

Data Quality: (COPQ; missing, consistency, duplicates etc.). only publication for professional data quality with SPSS world-wide. Performance and Efficiency in Processing of Big-Scale

Data (SAS): Concepts, settings, tuning, automation, etc.

Current personal record: Approx. 5.560.000.000 data rows.

Academic Focus

Known expert in scientific research methods, SAS/SPSS and statistics.

SAS Expertise: About 20 years experience in SAS programming, consulting and training (e.g.).

Versions: v9.3-6.08. Applications/Front-Ends: Enterprise Miner, Enterprise Guide, Analyst, INSIGHT, JMP 9-5, Assist, LAB, Research Analyst, SPECTRAVIEW, GraphnGo, Time Series Forecasting System, etc.

Modules: ACCESS, Base, CONNECT, ETS, FSP, GRAPH, IML, OR, QC, STAT, etc.

Languages: Base, SQL, Macro, Annotate, ODS, Hashing etc.

Same expertise applies to SPSS versions