Dr. Marek Strzelczyk

Aiding companies to design and implement robust and scalable data infrastructure. Providing consultancy and engineering services for business intelligence, big data and data science projects.

Leading the Business Intelligence Team, acting as a BI product owner. Responsible for data operations, quality and delivering insights to the internal customers. Managing continuous evolution of the data infrastructure and ETL processes.

Design and implementation of a data architecture, data warehouse and ETL processes. Data analysis – providing useful and scientifically correct information to decision makers.

Design and development of backend software for a scalable server architecture.

Design and development of custom software tools for monitoring, allocation, optimization and forecasting systems in order to maximize recovery over the full lifespan of the oil field.

Provided software and adjusted mathematical models for control of critical beam parameters: chromaticity and tune. Designed and implemented software tools for automated beam-based measurements and data analysis.

Implemented the magnetic field model and the algorithms for correction of magnetic field imperfections. Designed, developed, tested, deployed and maintained the high level accelerator control applications for the LHC, mainly related to magnetic field model and magnet calibrations. Took part in superconducting magnet measurements in magnet test facility and tests of the accelerator systems. Participation in LHC commissioning and start-up.

Gathered requirements and designed the generic Conditional Access System (CAS) software to be used in all new digital TV receivers (set-top-boxes) produced by Samsung. Designed and developed software for digital TV receivers (set-top-boxes) and digital TV sets, mainly parts related to CAS modules and graphical user interface

Control systems software design, implementation, tests, on-site deployment and end-user training. Main topics: power plant operation optimisation – combustion and soot-blowing optimisation, NOx, SOx emission reduction. Development and implementation of cutting-edge algorithms for dynamical systems modelling and predictive controllers design and simulation.

Optimisation Methods, Genetic Algorithms,

Neural Networks