Position: Data Scientist / Machine learning engineer
Category: Data Science
English level: upper
Years of experience: 1

Participant and prize-winner of the Ukrainian Final and participant of the European Final of the International Collegiate Programming Contests (ICPC), an international student team programming competition.
200+ solved problems on leetcode on algorithms and data structures.
Codecademy Python intermidiate & advanced level certificate
Projects:

Face emotion detection and object detection using Resnet, FastRCNN and OpenCV Cascade Classifier
AI that plays snake game using PyGame, RL techniques and CNN
Picture style transfer using pretrained VGG layers
Text generation in the style of Taras Shevchenko using Transformer
Ukrainian news classification by topic using classical ML algorithms such as Naivie Bayes, Logistic Regression and Random Forest Classifier

Skills:
Programming: Python, C++
ML frameworks:  sklearn, pandas, NumPy, matplotlib, XGBoost
DL frameworks: PyTorch, OpenCV, NLTK
ML algorithms: kNN, Linear & Logistic Regression, Decision Trees, Random Forest
DL algorithms: Neural Network, RNN, CNN, Transformers, ResNet
Math:  Statistics, probability theory, linear algebra
Algorithms and data structures
Other: SQL, Git, A/B test
B2 English, B1 Polish and A1 Japanese