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Personal profile


A curious scientist interested in data analytics. In my PhD, I applied bespoke analytical solutions with cutting-edge econometrics combined with machine learning to some of the most extensive UK financial datasets. In addition to that, I was assisting, advising and leading projects with an analytical focus in the Civil Service. These made me believe that theoretical models, standard econometric techniques, more recent computationally intensive machine learning approaches and easy to understand visualisations have to be applied in everyday business decision making and I want our students to succeed in that.

Research Focus

Business analytics, applied economics, property taxation, econometrics and machine learning.


Previous: Technology and Big Data (Level 4), Statistics and Visualisation (Level 5), Principles of Business Analytics (Level 6), Decision Making and Data Visualisation (Level 7), Data Modelling (Level 7), Business Analytics (Level 7)


PGCert in Teaching & Learning in HE with Distinction (Manchester Metropolitan University, UK), China Bursary (Chinese Government, China), Oxford Bursary (University of Oxford, UK), DAAD Bursary (Federal Ministry of Education and Research, Germany), Vice Chancellor’s Studentship for three-year PhD studies (Manchester Metropolitan University, UK), ERASMUS+ scholarship (European University Viadrina, Germany), Top 1% Performance Studentship (Federal Ministry of Education and Research, Germany)

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 8 - Decent Work and Economic Growth


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