Position: Junior / Trainee / Intern Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 0.5

Finished DataRoot University on specialization Data Science.

Courses on Coursera:
Mathematics and Python for data analysis from Yandex
Machine Learning from Standford University
Deep Learning Specialization from Andrew NG
Good knowledge SQL, Python and libraries NumPy, Pandas, Matplotlib, Scikit-learn. 
Experience with Keras, TensorFlow, OpenCV.
Base knowledge such databases as MySQL, PostgreSQL, MongoDB.
Understanding OOP, Machine Learning and Deep Learning.
Experience with Git.
Familiar with NLP libraries such as: NLTK and Pymorphy.
Experience in implementing different ML algorithms from scratch, such as linear regression, logistic regression, NBC, KNN, K-means and NN (ANN, CNN, RNN) etc., solving NLP and computer vision tasks, solving kaggle tasks also.
I'm looking for any interesting problems that could be solved with DS in different spheres (Computer Vision, NLP, Reinforcement Learning etc.). It is also important for me to have opportunities for professional growth and education, studying new technologies and taking part in courses and conferences. I hope to work in a friendly team of specialists who really enjoy and appreciate their work.