Ing. Jurij Ružejnikov

Ing. Jurij Ruzheinikau

Contact Information

Phone: +420 777 772 243

Email: ruzheinikau@email.cz

LinkedIn: Jurij Ružejnikov
 

Employment History

Institute of Information Theory and Automation – Department of Adaptive Systems

Location: Prague, Czech Republic

Length of employment: July 2024 – Present

Position: Ph.D. student

Key responsibilities:

 •  PhD thesis on the topic of Adaptive dynamic AI focused on humans.

CZU Faculty of Economics and Management – Department of Information Engineering

Location: Prague, Czech Republic

Length of employment: April 2024 – September 2024

Position: Technical worker

Key responsibilities:

 •  Administrative position in the department’s secretariat.

UniCredit Bank Czech Republic and Slovakia, a.s.

Location: Prague, Czech Republic

Length of employment: September 2022 – May 2024

Position: Market Risk Specialist

Key responsibilities:

 •  Development of a statistical model for predicting early mortgage repayment.

 •  Development of a statistical model for forecasting current account balances.

 •  Implementation of the models.

 •  Development of documentation for the models.

 •  Communication with the validation team.

 •  Communication with the Group’s Holding regarding model development.
 

Institute of Information Theory and Automation – Department of Adaptive Systems

Location: Prague, Czech Republic

Length of employment: October 2019 – February 2024

Projects and Responsibilities:

Bachelor Thesis

Bayesian estimation for adaptive dynamic decision-making (link)

 •  Problem formulation for real-time bidding in online advertisement.

 •  Algorithm development and implementation in Matlab.

 •  Experimental evaluation of the solution quality.

Research Assignment

Probabilistic Modeling of Opinion Formation

 •  Studied probabilistic merging of opinions.

 •  Collected and processed user data on mobile phone preferences.

 •  Applied theory to a real-world example.

Master’s Thesis

Targeted merging of customers’ opinions based on trust (link)

 •  Enhanced understanding of opinion merging and trust.

 •  Extended earlier research by incorporating subjective trust levels.

 •  Developed and tested a Matlab algorithm on simulated data.

Education

Czech Technical University in Prague – Faculty of Nuclear Sciences and Physical Engineering

Location: Prague, Czech Republic

Bachelor’s Degree

Applied Mathematical Stochastic Methods (link)

 •  Thesis: Bayesian estimation for adaptive dynamic decision-making (link)

Master’s Degree

Applied Mathematical Stochastic Methods (link)

 •  Thesis: Targeted merging of customers’ opinions based on trust (link)

Research Interests

Bayesian Statistics, Decision Theory, Time Series Analysis, Machine Learning

Computer Skills

Programming Languages:

 •  R (expert)

 •  Python (intermediate)

 •  Matlab (intermediate)

 •  C++ (basic knowledge)

Applications:

LaTeX, Visual Studio Code, Microsoft Excel, Microsoft Word

Operating Systems:

Linux, Windows, Mac

Language Knowledge

 •  English: C1

 •  Russian: Native speaker

 •  Czech: Native speaker