Position: Senior Data Scientist / Machine Learning Engineer
Category: Data Science
English level: fluent
Years of experience: 6

Kaggle Competition Expert level.
Solving non-trivial tasks with big chunks of data(~80 TiB).
More than 500 successful hours on upwork(top rated profile, which has been deleted by myself due to disagreement with the recent Upwork policy).
My own stock API in Python(fetching, processing huge stock data by means of correlation analysis).
Handwritten OCR project that uses NIST database and Caffe's CNN.
Gesture recognition system for android game(decision tree).
Video streaming and recognition results of video game.
Created a simple android app and published it on play market(>10K downloads).
Technologies: Python(4 years of commercial experience), C++(2 years of commercial experience), R(1 year), Golang(0.5 year), complex math algorithms(function optimization, regression analysis, classification), multithreading, concurrency, asynchronicity, image processing, recognition, graph algorithms, optical character recognition, deep learning, active shape models, statistics, gradient boosting methods, natural language processing.

DB experience: SQL, MongoDB, Elastic, Redis, BigQuery, Postgres
Environments, tools: MSVS, Qt, Pycharm, Clion, Eclipse, OpenCV, Matlab, Octave, R Studio, numpy, scipy, pandas, git, subversion, keras, tensorflow, torch, jupyterhub, aws, docker, jupyter

OS: Windows, Linux(preferable)

Successful completion of Deep Learning Specialization series of
courses with a certificate.

Finished MOOC coursers(no certificate):
-- Data Science(mining, machine learning, statistics etc)
-- Machine Learning 
-- Big Data(Hadoop, PySpark etc.)
-- CUDA
I am interested in applying cutting-edge technologies like deep learning.
I am very fond of jobs where my skills are used properly and I can show myself.
I may review my compensation expectation(down to 2.5K$) and willing to relocate if the work is about getting a Ph.D. degree in my field.