Position: data scientist; scientific computing/machine learning developer
Category: Data Science
English level: fluent
Years of experience: 11

**I am currently based in Prague**
social network analysis system to predict chosen parameters of network members, estimate the dynamics of information diffusion in a situation of limited knowledge of the structure of network. methods: log regression, NN, SVM, clustering algorithms, graph algos+custom solutions, Monte Carlo. 
sports prediction systems
nonstandard recommender systems(ideas from math analysis).
signal processing+spectroscopy+machine learning
cyber threat detection systems.
non-standard and customized clustering algos, customized anomaly detection for computer vision.
crypto currencies anomaly detection. 
predictive maintenance, synthetic models based on mechanical engineering equations and productionalization of algorithms.
matlab to python/c++ conversion
10+ years: python(scikit learn,numpy, scipy, pandas), development of machine learning, statistical and mathematical applications, algorithms of numerical analysis, signal processing, cryptocurrencies fraud detection
7 years: usage of mathematics, machine learning, statistics for various development tasks
2 years: c++/scientific computing/computational fluid dynamics
BSc in physics, MSc in math;
MEng in aerospace engineering from a top western school
data science/machine learning, mathematical modeling, aerospace engineering