Natalia Yerashenia received both BA and MA degrees in Economics from Belarusian National Technical University (Minsk, Belarus) in 2011 and 2012. Later, she taught the Financial Management module at the same university. Before moving to London in 2015, Natalia also worked for three years as a Financial Data Analyst for the Department of Economic Analysis in Civil Engineering Research Institute.
In 2018 she graduated with an MSc degree in Finance and Accounting from the University of Westminster. Currently, Natalia is the last-year Computer Science PhD Researcher at the University of Westminster. She is also teaching Mathematics for Computing Module for first-year Computer Science students.
Her interest lies in understanding how knowledge graphs, ontologies, and machine learning techniques can be applied in analysing financial and market data. Natalia's specialist topics are Fintech, Data Mining, Semantic Web / Ontologies, Graph Databases, Neural Networks.
4COSC002W.Y Mathematics for Computing (Visiting Lecturer)
Towards Intelligent Bankruptcy Prediction: Semantic Data Management and Computational Prediction Techniques