Juri Kren

About projects: Data analytics of the European labour market and creation of dashboards based on it. Results: Implemented a project on data analytics of the Italian labour market, which included 9 dashboards. Learnt and used Tableau for interactive and visual representation of data. *On a volunteer basis

About projects: Writing analytical articles and forecasting. Results: - Prepared more than 30 articles on GDP, inflation, industrial production, budget, elections and other macroeconomic and political topics of Western and Eastern European countries.

About education : Postgraduate Certificate in Data Science – University of London – Distinction. Results: - Big data analysis (score: 100%) - Data visualisation - Data programming in Python - Machine learning (score: 81-89% in each)

Results: - Developed around 10 forecasts with risk assessments for the EMEA region. - Led key economic and market analysis projects on the EMEA region, presenting complex economic data directly to clients and stakeholders in an easy-to-understand way and tailoring clear, actionable insights to their needs. Mentored and trained 2 team members. - Collaborated across teams to align economic insights with company goals, ensuring everyone was on the same page and projects ran smoothly.

About projects: Analysis and forecasts of economies and financial markets. Results: - Created and implemented in-house forecasting tools. - Delivered strategic insights to leadership and sales teams, enhancing decision-making processes, while mentoring junior staff and contributing expert input into product development initiatives. - Presented trends and findings to stakeholders, distilling complex data into clear, actionable insights to drive informed business strategies and support value creation.

About projects: - Analysis and forecasts of economies and financial markets. - Optimisation of analytical work within the company. Results: - Developed a project to collect data and build a reporting model using Excel, which allowed the company and clients to see the performance of Russia’s financial market more clearly. - Incorporated public sector advisory experience with financial markets knowledge to prepare regular market strategies on EMEA countries, research reports and forecasts for key variables

About education : Postgraduate Certificate in Data Science – University of London – Distinction. Results: - Big data analysis (score: 100%) - Data visualisation - Data programming in Python - Machine learning (score: 81-89% in each)

Core Modules: Macroeconomics, Microeconomics, Econometrics, English for science, Financial markets and institutions, Informatics for graduate students.