Warsaw Metropolitan Area
Data engineer specializing in predictive modelling in the anti-fraud in the banking sector. Experienced in executing data-driven solutions in databases using SAS technologies and SQL. Focused on development towards data analysis, cloud solutions, and building data processing systems.
• Developing analytical tools in SAS 4GL and SQL. • Creating automatic periodic reports to monitor the impact of data changes on predictive models. • Preparing ad hoc analyses to detect anomalies, irregularities and errors in data pipelines and systems.
- Project in the banking sector: Development of ETL processes to anonymise customer data: • Creating processes and workflows using SAS and SQL for processing data in the Oracle database. • Creating data flow pipelines between an Oracle database and a SAS environment. • Creating ETL processes with schedules using SAS Data Integration Studio and SAS Management Console. - Project in the energy sector: Development of a data validation tool for customer renumbering and support in maintaining ETL processes: • Creating a tool in SAS/Base operating in SAS Enterprise Guide to perform a data quality validation for data from source systems. • Support in development and maintaining ETL processes in SAS Data Integration Studio. - Project in the pharmaceutical sector: Development and maintenance of a bioanalytical application for clinical trials: • Code refactoring of the application that performs statistical analysis and generates a summary report for the clinical trial. • Development and improvement of SAS programs using the SAS/Base and SAS/Macros to implement new statistical models, and functionalities.
• Quality control of the outputs of a clinical study, ensuring compliance with formal requirements in SAP and CSP. • Learning to use R, SAS and statistical models in clinical trials. • Getting acquainted with documentation and cooperation between departments working on clinical trials.