Project for IT Blast

I am a highly versatile machine learning engineer and data scientist with 5 years of commercial experience and successful history of machine learning and data processing contests. During my career, I have performed a variety of roles: developer, research engineer, consultant, and solutions architect. I believe in T-shaped skills, therefore I have wide interests in technology in general, but my deepest knowledge is in machine learning, software architecture, and cloud computing. My experience: - Building and testing machine learning models - Computer Vision - Deep learning - Natural Language Processing - Time series analysis - Development of REST services with analysis background - Integrating machine learning algorithms - Building data analysis APIs My main areas of expertise are Data science, Machine learning, Python. Skills: - Languages/technologies: Python, C/C#, nodejs - Frameworks: TensorFlow, Caffe, Keras - Libraries: Numpy, Scikit-Learn, Matplotlib, SciPy, Pandas, NLTK, LightGBM, XGBoost - DB/Storing: MySQL, Redis, PostgreSQL, SQLite - Version control: GIT, Mercurial, SVN - Analysis: statistic, calculus, classification/clustering, machine learning, deep learning - Methodologies: Scrum, TDD Other: - AWS experienced user - Google Cloud Engine advanced user - Linux (Ubuntu) advanced user - Docker - Kubernetes - LAMP stack - Data scraping - Strong math background