Position: Data Scientist / Machine Learning Engineer
Category: Data Science
English level: intermediate
Years of experience: 2.5

Winning ML competitions connected with text data, image data, recommendation systems and structured data.
As a Data Scientist, I was working with:
 - numpy, pandas, matplotlib, scikitlearn, scipy, tqdm

 - Classic ML algorithms (LogisticRegression, SVM, RandomForest, Boosting, clusterization algorithms,  dimension reduction algorithms)

 - Text classification, text summarization, text parsing, named entity recognition (sklearn, nltk, gensim, TFIDF, Word2Wec, FastText, LSTM, BERT)

 - Image classification, image segmentation, landmark detection (keras, pytorch, torchvision, dlib, CNN, ResNet, DenseNet, MobileNet, U-Net)

- Git / Linux / Azure

Bachelor degree in system analysis
Intresting tasks, new experience