Andreas is a Data Scientist within the CBI’s Economics Intelligence team, with background on mathematics, statistics and computer programming. Andreas is primarily responsible for all the survey data processing, weighting and analysis. Works on the CBI Economics Business Survey as well as other CBI internal or external sponsored surveys.
Before joining the CBI Andreas completed a MSc in Risk & Stochastics from London School of Economics.
- Machine learning
- SQL + TCL
- Jupyter Notebooks
- Microsoft products (Excel, PowerBI)
- IBM Cloud services
- Linux -BASH
In his spare time, Andreas is continuously learning about the rapidly growing field of data science and big data. Completing courses by leading data technology companies like IBM and Microsoft.
Built a survey data analytics tool – An R program that takes raw survey data as input and provides an output of a completely customisable breakdown of analysed survey results in an excel spreadsheet.
Represented CBI on the annual European Commission BCS WORKSHOP
Lead and presented the following research papers
2016 - Evaluating the performance of Aggregate Survey-Based Indicators in times of Crisis.
Survey-based expectations are quantified in order to provide early economic indicators, with an application on the UK's manufacturing output. Then the performance of these indicators was evaluated by comparing normal times and times of crisis.
2017- The impact of elections on survey data: evidence from the CBI
Focused on the relationship between uncertainty created by-elections and firms’ perceptions when answering a business survey.
2018 - Productivity developments during and after the financial crisis: What can we learn from the Industrial Trends sectoral survey data?
Examined the relationship of survey questions and their link to productivity. Created a machine learning model on the underlying productivity growth to understand the behaviour under extreme events.
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