Supporting the International Web Presence project of the Federal Employment Agency (IntWeb) in the area of quality management with the goal of taking responsibility for the quality of processes and project results according to the agency's standards. The project's main objectives are to give professionals abroad a quick overview of their opportunities to come to Germany and to enable them to take the necessary steps with consistent digital support by accessing services.
Technologies: JIRA, Confluence, MS Office
Supporting the Tribe Data team in Business Analytics & Information, which serves as the bank's central service unit and carries out various data-driven requirement analyses for different departments. My role focuses on data-driven processing of requests from areas such as marketing, trading/securities, and others. This includes data management and preprocessing, providing target groups, and creating dashboards.
Technologies: MicroStrategy Developer & Web, SAS 9.4, Spotfire - TIBCO Spotfire Analyst, Confluence, MS Office
Supporting the credit structure reports project by analyzing and querying the existing data foundation in SQL. In coordination with the financial IT department and SR IDH Reporting, a concept is developed to determine which data is needed for the migration. Additionally, support is provided for designing the connection of EKREPP reports (standard credit review tool of the auditing bodies) to IDH. The goal is to successfully create a prototype to ensure the migration from the old DWH system to the new IDH.
Technologies: Microsoft SQL Server, DBVisualizer, JIRA, Confluence, MS Office
Supporting the InfraRisk24 project in designing the renewal of the internal data pool "Spark" to prepare data requirements for regulatory reporting and in creating a concept for the future data interface of the reporting software. This includes, among other things, shutting down the BRM data pool to allow a direct transfer from IIB to SPARK via iWHS.
Technologies: JIRA, Confluence, MS Office
Supporting the Digital Customer Communication (DIKUKO) project in quality and test management with the goal of taking responsibility for the quality of project results. The project's main objectives are to expand the customer experience across channels, guide customers better to relevant offers, and automate communication tasks while using budgets more efficiently and effectively.
Technologies: JIRA, Confluence, MS Office, Dropsolid, Mautic, SAP Solution Manager
Provided support for the ECB reporting project in the testing area to ensure that the data supply from Abacus (Abacus360) via the Abacus Transformer, including IDH deliveries, meets the requirements and quality standards of the savings banks before being handed over to the German savings banks.
Technologies: HPQC, OSPlus, JIRA, MS Office products, Confluence, DBVisualizer, SAS Base / SAS Macro
Provided support for the Data Analytics project in test management to ensure that the products/software meet the quality characteristics of the PMOPlus standard before delivery to the German savings banks.
Technologies: HPQC, OSPlus, OSPlus neo, JIRA, MS Office products, Confluence, DBVisualizer, SAP Solution Manager
Provided support for the IDH (Integrated Data Repository) calculation project in quality management to achieve an increased quality according to the PMOPlus standard in the creation and integration of applications for the OSPlus banking system before delivery to the German savings banks.
Technologies: PMOPlus, JIRA, MS Office products, Rochade, Confluence
Provided support for the subproject Technical Implementation of the DDS (Detail Data Store) project in the claims area, among other things to accompany the conception, analysis, and implementation of data warehouses and data marts and to ensure reporting by the business department.
Technologies: SAS DI Studio 4.902, SAS Base, SAS Enterprise Guide 8.1, JIRA, MS Office products, Confluence, Automic software
Supported the subproject Migration and Data Management in the Transaction Banking area, among other things to build a reconciliation database. This involved migrating from the Bank21 core banking system (plus CCP) to the Temenos T24 banking system.
Technologies: Python 3.7.6 (including Pandas library), Jupyter Notebook (notebook server 6.0.3 / IPython 7.13.0), JetBrains PyCharm 2019.2, Oracle, SQL Developer 19.4.0.354, JIRA, MS Office products, Confluence, ASANA
Supported the Customer Analytics team and CRM department in campaign preparation, selection, analysis & management.
Technologies: Power BI, SAS Base, SAS EG, SAS Enterprise Miner, Oracle, WinSCP, PuTTY, JIRA, MS Office products, Dymatrix, Confluence
Fraud Detection System. Development of a statistical risk tool for online fraud detection.
Technologies: MySQL, R, RStudio, AWS, R Shiny, R Markdown, Visual Studio, Python, API, WinSCP, PuTTY, JIRA
Connecting Digital CRM to the customer center and branch channels based on data stored in a Big Data Lake (Hadoop) – expanding the SAS-based data mining tool to deliver customer-specific offers at the right time through the right channel.
Technologies: HP ALM 11, MS Office, SAS Enterprise Miner 13.2, SAS EG 6.1, SAS Model Manager 13.1, SAS Customer Intelligence 6.3 – Marketing Automation / Marketing Optimization / Realtime Decisioning Manager / Offers, SAS Management Console, SAS Customer Experience Targeting 6.3, SAS IMAP 4.4, Oracle DWH, DB2 / Toad for DB2, UC4 / OPC, SOAP UI 5.0.0, WinSCP, PuTTY
Building a Hadoop-based Big Data Lake for Cyber Security, aiming to provide machine data (NetFlow, proxy, etc.) of all kinds to stakeholders/divisions in real time and near real time to fight cyber attacks more efficiently.
Technologies: HP ALM 12, MS Office, Talend Studio 6.21, TAC, Cloudera 5.5.4, Spark 1.6.0, Flume 1.6.0, Unix, Kafka 0.8.2 & 0.9.1, Zookeeper 3.4.8, HDFS, Hue, Nexus, Puppet, Jenkins v2.15, TeamCity Enterprise 9.1.8
Topic: Right Whale Recognition. Sector: Zoology (main sponsor: NOAA Fisheries). Developed statistical models/algorithms based on aerial photographs to identify right whale species. The purpose of the analysis was that only a few experienced researchers could identify each whale species when they briefly jump out of the water while swimming. The goal was to support most researchers to make this identification faster than before. One of the first challenges in the investigation was extracting data from the images.
Technologies: R (RStudio), MS Office
Digital CRM – introducing a new data mining tool designed to deliver customer-specific offers at the right time (real-time data processing) through the right channel.
Technologies: HP ALM 11, MS Office, SAS Enterprise Miner 13.2, SAS EG 6.1, SAS Model Manager 13.1, SAS Customer Intelligence 6.3 – Marketing Automation / Marketing Optimization / Realtime Decisioning Manager / Offers, SAS Management Console, SAS Customer Experience Targeting 6.3, SAS IMAP 4.4, Oracle DWH, DB2 / Toad for DB2, UC4 / OPC, SOAP UI 5.0.0, WinSCP, PuTTY
Topic: Driver Telematics Analysis. Industry: Insurance (main sponsor: AXA). Development of a statistical model/algorithm to create/predict individual signatures of vehicle drivers using traffic telematics data. The goal is, among other things, to offer personalized insurance rates based not on criteria like vehicle type, license age, or similar categories but on individual driving signatures.
Technologies: R (RStudio), MS Office
Demand-based cluster testing in a DWBI environment / testing of campaign management systems:
iCP (Integrated Campaign Platform)
CAI (Customer Analytics and Insights)
ODS (Online Data Store)
Review of specification documents (Application Specification / Solution Specification / Functional Interface Specification)
Coordination of the offshore cluster test team
Creation & review of test concepts
Development of test plans and test strategies including effort estimation
Creation of test cases / test case catalogs / test scenarios for functional and non-functional requirements
Creation of test data
Creation of test campaigns (inbound, outbound, email, mail)
Manual test execution
Adaptation of XML-based test suites used as the basis for automated tests
Execution of automated regression tests
Testing of web services using SOAP UI
Preparation of daily and weekly reports and contribution to the creation of test reports
Technologies: HP Quality Center 10.00, DDTS, JIRA 6.3.9, ORACLE / SQL Developer, Siebel Marketing 8.1, SAS CI Studio 5.4, SAS Enterprise Guide 4.3 / SAS Base, SAS Management Console 9.2, WinSCP, PuTTY, SOAP UI 3.6, UC4 V8
Development of a platform for claims field service controlling.
Technologies: SAS Enterprise Guide (version 4.3), SAS Base/SAS Macro, SAS Olap Cube Studio / SAS Web Report Studio, database system: Oracle, DBVisualizer
Migration of data from the COBOL-based legacy system KBO / KB Online to the new Oracle-based Cassiopae system (ETL).
Technologies: Informatica PowerCenter, database system: Oracle, Toad for Oracle, Mantis Bug Tracker, WinSCP, PuTTY, MS Excel
Development of a platform for claims field service controlling.
Technologies: SAS Enterprise Guide (version 4.3), SAS Base/SAS Macro, SAS Olap Cube Studio / SAS Web Report Studio, database system: Oracle, DBVisualizer
Statistical analysis in oil exploration. Development of forecasting models. Goal: Using chemical analysis of soil gas and statistical evaluation based on data from geological and seismic surveys to assess the probability of oil deposits in the ground.
Technologies: STATISTICA, Excel
Topic: RWA calculation core & reporting (Basel II & III project).
Topic: Data Quality Management (DQM) in the DWH environment.
Topic: SAS development for risk management (IRB / Basel II & III project).
Analysis and programming of a Credit Risk Data Mart.
Technologies: Doxygen, SAS Base/Macro (9.1, 9.2), UNIX AIX, SAS BIS DDS, HP Quality Center, Oracle DWH
Topic: CRM analysis and reporting.
Topic: Design and programming of an analysis routine in CRM.
Analysis and programming in the motor vehicle insurance sector.
Technologies: SAS Base 9.1, Enterprise Guide, DI Studio 3.4, Oracle DWH
Statistical analysis and programming. Data analysis of pharmacokinetic parameters from a clinical study investigating food interaction.
Technologies: SAS Base 8.1/Macro, SAS Enterprise Guide, MS Excel, Oracle DWH
Statistical analysis and programming. Data analysis of pharmacokinetic parameters from a clinical study investigating food interaction.
Technologies: SAS Base 8.1/Macro, SAS Enterprise Guide, MS Excel, Oracle DWH
I am an experienced freelance test manager, quality manager, and data analyst with over 15 years of expertise in data-driven projects in banking, insurance, telecommunications, and the public sector. My focus is on quality assurance, test management, and data analysis in complex DW/BI environments. I combine technical know-how (including SAS, SQL, Python, R, Talend, Power BI, Temenos T24) with methodological strength (ISTQB-certified, PMOPlus, SERA).
I help companies build and optimize test processes, prepare data for business decisions, and implement regulatory requirements in the finance sector. As a bridge between the business side, IT, and management, I am equally experienced in agile and traditional project environments.
Core competencies:
Test management & quality assurance (ISTQB, HPQC, JIRA, CI/CD)
Data analysis & reporting (SAS, SQL, Power BI, Spotfire)
CRM & campaign analysis (SAS CI, Oracle, Python)
Data science & predictive analytics (R, machine learning)
ETL development (Informatica, Talend, SAS DI Studio, SAS Base)
Industry focus: banking, insurance, telecommunications, public sector
Languages: German (fluent), English (business fluent), French (business fluent)
I look forward to exciting projects where I can deliver real value through structured quality assurance, data-driven insights, and technological precision.
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