- Data Science / Analysis consulting- Quantitative Development- R, Python, Excel, SQL

- Conception and implementation of a revised forecast modelling process for private market funds in R- Developed new database interfaces and a web-based frontend used in production- Significantly reduced execution time (100x) and resource requirements (server cluster to single core)- Designed ETL process for messy, dynamic and manually entered data- Support in the execution of the semi-annual forecast with preparation and visualization of the results- Analysis of financial reporting for the private equity, private debt and infrastructure portfolio- Extensive and advanced use of R, Excel, VBA and SQL on a daily basis

- Review, development and validation of rating models in the context of IRBA- Module responsibility and project lead for the Macro Analyzer PD (Forecasting in context of IFRS9)- Substitute Module responsibility for the Stress Test Analyzer, the rating module for sovereigns and the SimEngine (Global Macroeconomic Simulation)- Development, automation and quality assurance of processes and projects- Extensive and advanced use of SQL, VBA, EViews and R on a daily basis

- Support of Prof. Gabriel Felbermayr, PhD with economic research and policy consulting- Creation, acquisition and management of economic data sets- Visual and econometrical analysis of economic data to detect correlations and causal relationships- Extensive and advanced use of statistical software STATA- Research focus on topics in international trade and general economic development