# German Novikov

## Data Analyst

- Moscow
- +7 (985) 234 76 02
- german.novikov@phystech.edu, novikov@iitp.ru

- Moscow
- +7 (985) 234 76 02
- german.novikov@phystech.edu, novikov@iitp.ru

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.

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:

- Airbus/PMTools:
*Implementation 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)* - DATADVANCE/Leakage detection:
*Implementation of the algorithm for trend detection in air-cooling system for airplane (One-class classification for time series)* - EZY/Clustering:
*Implementation of a specific type of distributed computations system for large dataset (Amazon EC2 etc)* - 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")* - Skoltech/ASOD:
*Aerospace data classification with CNN.*

One year program in quantitative methods in finance.

Data Analysis and Management / Predictive Modeling and Optimization