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Summary

I am a self-motivated data analyst. I have experience of development and upgrading of library of predictive maintenance tools. Able to play a key role in analysing problems and come up with creative solutions as well as producing methodologies for anomaly detection, high dimensionality and other problems, machine learning faced with. A quick learner who can absorb new ideas and can communicate clearly and effectively. Now looking for a suitable data analyst position in ambitious company or some interesting project.

Work History

2015Present

Intern Researcher

Institute for Information Transmission Problems (RAS),

I participate in the development of a library of predictive maintenance by Laboratory of Data Analysis and Predictive Modeling / DATADVANCE . Solving specific problems that emerge in the analysis of data obtained from cooperating companies (Airbus, DATADVANCE, Visillect etc).

Some Projects:

  1. Airbus/PMToolsImplementation and addition of new data analysis techniques (in particular for time series module: implementation of automatic ARIMA parameter fitting, t-digest, time-series anomaly detection)
  2. DATADVANCE/Leakage detection: Implementation of the algorithm for trend detection in air-cooling system for airplane (One-class classification for time series)
  3. EZY/Clustering: Implementation of a specific type of distributed computations system for large dataset (Amazon EC2 etc)
  4. Visillect/RNN TS Classification: Research in the field automatic building of recurrent neural networks techniques for automatic development of classifier for specific type of time-series. Implementation of the algorithm for car pass detection at the check-in points on the toll road.  (ICMV'2016, Nice, France: "Automatic Construction of a Recurrent Neural Network based Classifier for Vehicle Passage Detection")
  5. Skoltech/ASOD: Aerospace data classification with CNN.

Education

20162017

Quantitative Analysis Program

Moscow State University, Center for Mathematical Finance

One year program in quantitative methods in finance.

20162018

MSc in IT / Applied Mathematics and Physics

Skolkovo Institute of Science and Technology / Moscow Institute of Physics and Technology

Data Analysis and Management / Predictive Modeling and Optimization 

20122016

BSc in Applied Mathematics and Physics

Moscow Institute of Physics and Technology, Department of Control and Applied Mathematics, GPA 4.78/5.00