Ms Natalia Yerashenia

Ms Natalia Yerashenia

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 final-year Computer Science PhD Researcher at the University of Westminster. 

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, and Neural Networks. 

PhD Thesis Topic – Generic Architecture for Predictive Computational Modelling with Application to Financial Data Analysis: Integration of Semantic Approach and Machine Learning

In brief

Research areas

Fintech, Data Mining & Machine Learning, Semantic Web, Ontologies, Graph Databases, Neural Networks and Time-Series Forecasting

Skills / expertise

Data Analytics, Data Mining, Machine Learning, Applied Mathematics, Python, R and MATLAB