Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 3


Description: 
1) validation and model building based on machine learning. Build an application to automatically validation any model on streamlit and flask. Build a method to test the time series model. Build a scoring model based on mobile data such as Beeline, Tele2. Auto data web scraping and put on AWS servers. Developed an algorithm for optimal filling of 3D space, in particular containers and trucks API for AWS, and visualisation on unity(c#). Build a CV model based on keras, tensorflow for determining the number for barcodes