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


For a half of year I have worked on large retailer from US. 
My job consisted of cleaning up the data, creating new features, training models and evaluating performance. The dataset was quite large (8 million rows and 25 thousands columns), so it was a big data project. 

Programming language: Python, SQL.
Used frameworks: 
Visualization & Preprocessing: Pandas, Numpy, Matplotlib, Seaborn, PyAthena, boto3, PySpark. 
Machine Learning: Lightgbm, Tensorflow, Scikit-learn. 
AWS Services: Athena, EMR, Sagemaker, S3. 


For another half of a year I have worked on large advertiser also from US
Overall that was probably more the job of Data Engineer rather than Data Scientist, as mostly my responsibilities consisted of sending the data to different partners, creation of different reports, analyzing the data 

Programming language: Python, SQL, Bash.
Used frameworks: 
Preprocessing & other: Internally developed frameworks, boto3, Selenium, Jenkins. 
AWS Services: EC2, Athena, S3, Data Pipelines.