Dr. Kirill Grevtsov

Leading data analyst. Work with optimization of the machine learning classification algorithms (BDT, NN, RNN). Statistical analysis of data (Hypothesis Testing, multi-parameter global fitting) Distributed computing (ETL): develop a c++ framework to process large scale datasets. Manager of the dataset production - coordinate work of the team (5 people) - plan resources, set priorities, control the quality. Organize cross-collaboration interaction on the unification of the analysis methods.

Leading analyst. Statistical data analysis (analytical models, likelihood estimation, compatibility, look elsewhere effect). Machine learning applications: - BDT regression for analysis optimization. - feature engineering of the regression model of energy reconstruction (reduced dominant systematic uncertainty by 20% for the Higgs boson mass measurement). Operated large scale experimental apparatus, maintained online data acquisition system, provided on-call expert support 24/7.

Data analyst. Data analysis for precision electroweak processes measurements. Own project - built the subsystem for particle detector - gas mixture quality control. Test prototypes, implementation of improvements, integration into the existing detector. Wrote data acquisition system and automated alert system based on the processing of collected data.