Position: Junior/Trainee Data Scientist
Category: Data Science
English level: upper
Years of experience: 0

Master's degree in process automation. 
Student at UNIT Factory (working on non-profit projects).
Coursera: Machine learning and deeplearning.ai specialization (Andrew NG)
DataRoot University: ECG normal/abnormal classification project (CNN autoencoder, Random Forest)
Neural Network and deep learning: multilayer perceptron, RNN, CNN
Regression and classification: Logistic or Linear regression, SVM, Decision Trees, ensemble methods (Random Forest, gradient boosting)
Clustering and decreasing dimension: K-means, PCA, t-sne,Umap
Feature extraction: autoencoder
Python,C (1,5 years experience on non-profit projects), Matlab
numpy, skikit-learn, pandas, tensorflow, keras, SciPy
jupiter notebook, PyCharm, SQL, GIT
Basic knowledge of linear algebra,  statistics, probability theory.
I'm looking for a work (or internship) for realization of interesting projects with a team, which will help me to improve my skills.
I have previous experience on Kaggle and Dataroot University trainee program, can work in a team and quickly learn.