Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 0.5


Data Science
Together with some university courses taken, I have been learning online about Data Science and Machine Learning. My framework is Python with pandas, numpy, scikit-learn, matplotlib and seaborn. For deep learning, I am using Keras + TensorFlow. 
I have made a personal and team projects for university courses(Data Analytics and Data Mining,  Network Optimization, Parallel computing, Machine Learning), as well as solutions for kaggle competitions(Sberbank Moscow Housing Prices, )
Analytics
I enjoy the process of  data-driven decision making. It combines my technical math education with my passion to design. I like designing clear and self-explanatory visualizations with wide range of tools - matplotlib, seaborn, pyplot, folium - and provide strong statistical evidences.