Position: Data Scientist / Machine Learning Specialist
Category: Data Science
English level: upper
Years of experience: 11

Data preprocessing, regression, classification, clustering, association rule learning, reinforcement learning, natural language, deep learning, dimensionality reduction, model selection&boosting
ANN, CNN, RNN,GAN, UNet, DarkNet, AIS, MIDAS, DarkNet, NLP, (S)ARIMA, OpenCV, BERT, Transformers, LSTM-RNN,,etc. 
Collect, analyze, and visualize data
I am an expert in data science, machine learning, and business analysis with a strong background in math, physics, and technologies.
I've a good soft skills and extensive experience in communication with representatives of business, administrative institutions, science, as well as ordinary employees and top managers of companies working in various fields and areas. 
Extensive experience in working with data and machine learning, as well as practical analysis of business processes and projects allow me the following:
• to design and implement data models in Python with Keras, Tensorflow, Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, PyCharm, PyTorch, OpenCV, etc.
• to work effectively with machine learning models (data preprocessing, regression, classification, clustering, learning association rules, reinforcement learning, natural language processing, deep learning, dimensional reduction, model selection and upgrade, etc.)
• to find creative solutions to deep/machine learning problems
• to develop visions and concepts of technological solutions
• to develop effective technological approaches, models and methods
• to manage, optimize and evaluate business processes and projects
• to develop financial and economic models
The knowledge and experience gained over the years of work help me to freely navigate in various business systems and quickly find effective solutions to complex problems, as well as to propose, substantiate and develop the methods and technologies for their implementation. 
The main goal that I set myself when solving a problem is to implement an integrated approach from concept development to a real product that “can be felt with my hands”. 
With the ability and skills to achieve the goals on my own, I mostly consider myself as a team player 

	Data science and machine learning: Keras, Tensorflow, Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, PyCharm,  PyTorch, OpenCV, Flask, Flask extensions, Requests, BeautifulSoup / CNN, RNN, GAN, AIS, DarkNet, MIDAS, YOLO, UNET, (S)ARIMA, BERT, Transformers, LSTM
	Business analysis
	Both waterfall and Agile: SAFe, Scrum and Kanban
	Familiar with any Trackers and Management tools - MS Project, Spider, Merlin, Jira + Confluence
	All around Understanding of SDLC, XML, SQL, BPMN, UML notation and CASE- tools, UX/UI design, API, BDD + Gherkin, Web
	Skills of converting business visions to POCs' & MVPs' scopes
	Able to work with large volumes of information