Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 4


Machine learning engineer
Project: Develop machine learning models for tax industries. 
Job responsibilities: Research NLP approaches to improve summaries for tax services; Test hypothesis; Build bi-directional unit for neural network.
Build and provide machine learning models for financial sector.
Technology stack: Python, Pandas, Numpy, Scipy, Matplotlib,  Seaborn, Scikit-learn, Stats,Pytorch,  TensorFlow, Keras, SpaCy, Fastai, Gensim, Flair, Trello, GCP, AWS, UNIX

Project: Execution program for algorithm trading  
Job responsibilities: Study market and learn his behavior; Quantitative analysis; Research machine learning pipelines which give best predictions; Develop module for order execution; Test hypothesis; Build bi-directional unit for neural network
Technology stack: Python, Pandas, Numpy, Scipy, Matplotlib,  Seaborn, Scikit-learn, Stats,  TensorFlow, Keras,  Trello, GCP, AWS, UNIX, Git

Project: NLP Expert 
Job responsibilities: Parsing, preprocessing of the resumes and vacancies; Research best methods for text transformation; Create vocabularies; Building end-to-end pipelines for data flow; Write regular expressions for close hard understanding text; Test hypothesis; Create technical documentation;
Technology stack: Python, Pandas, Numpy, Scipy, Matplotlib,  Seaborn, Scikit-learn, NLTK, Spacy, GloVe, Gensim, TensorFlow, Keras,  Trello, GCP, AWS, UNIX, Git, 

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Project: Semantic images
Job responsibilities: Image collecting and preprocessing;   Build and train convolutional neural network tandem with transformer; Research ways to decreasing computational time for embeddings processing; Data mining; Develop logic to text output 
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Project:  Easy motherboards
Job responsibilities: Image collecting and preprocessing; Build and train convolutional neural networks for object detection in different image sc