Bernd Prostmaier

PhD Candidate in the area of Natural Language Processing (NLP), aiming to shape the future of big data customer analytics using novel deep/machine learning methods.

Data Analysis Customer Feedback Studies: - Application and further development of Natural Language Processing (NLP) methods and tools, especially text classification, information extraction and performance improvements (AWS, PySpark, Python) - Improvement of existing deep learning models - Optimization of big data transformer pipelines - MVP software engineering

- Using business intelligence tools for data driven decision making (e.g. Power BI, Alteryx, Tableau) - Valuation & Modelling: Implementation of purchase price allocation, financial modelling, impairment testing and valuation of assets - Financial due diligence reports and financial fact books: Working capital-, cash flow-, balance sheet- and income statement analysis

- Independent support of corporate customers with sales up to several million euros, under close and trusting contact with the key decision-makers in the companies. - Advice on stock markets, single securities, ETF's, options, funds and other derivatives, in close accordance with regulatory requirements (WPHG).

Focus on (bayesian) statistics, ML, NLP and software engineering (Python & R). Thesis: Text Mining: Statistical Text Analysis of Central Bank Communication. Empirical Evidence from the United States, the United Kingdom and the European Area.

Global and European Economy, Blockchain, Risk Management, Consulting

Specialization in finance, including portfolio management, risk management and M&A. Triple crown accredited AACSB, AMBA, EQUIS.

Part-Time studies together with full-time employment Qualification according to § 25c, Abs. 1 Kreditwesengesetz (KWG). Requirements for management board Tripe crown accredited AACSB, AMBA, EQUIS