Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 2.5

Prepared a course of lectures in Statistics and Data Science for company members on descriptive statistics, distributions, hypothesis testing, and R tools for data visualization.

Created a pipeline for monitoring key product metrics on the dashboard shared with all company members.

Personally prepared two releases of big Ruby on Rails application, including detailed test coverage on Rspec/Capybara and Gherkin.
Data Scientist with hands-on experience in Ranking Systems, Data Analysis, Computer Vision (Image Matting and Segmentation problems) and Natural Language Processing (Social Accounts Categorization, Term Extraction). For the purposes of these projects, I used PageRank algorithms to get social graphs for further ranking and trained ResNet, TFIDF, Logistic Regression, and Random Forest models.

Experienced Full Stack Ruby on Rails Engineer in the pharmaceutical industry. Developed and tested Rails+React applications with IDE and version control for clinical data management and standardization.
I am looking for a Machine Learning project in CV, NLP or Recommendation/Ranking system domains. Interested in both research and engineering parts.