Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 1

My team was able to predict the success of the auction by 82%. This result helps people, who create a tender, to view information about the tender at the initial stage, to supplement or specify the data and thus increase the chance of success.
I have been working for two years as an Automation QA Engineer. The basis of the project was scalable, open source government system for public e-procurement and I wrote unit, UI, API, integration, functional tests, using Python and Robot framework. 
Also on this project I have been doing machine learning for one year. My task was to train a model that could predict the number of participants who will take part in the auction, whether auction will be successful or not, and other tasks. I used scikit-learn, pandas, numpy, scipy, matplotlib, NLP (BOW).
I don't want to be the only one who will be responsible for the DS on the project