Position: Machine learning engineer
Category: Data Science
English level: intermediate
Years of experience: 0


Algorithms:
- deep learning: DNN, CNN, RNN, GAN;
- statistical machine learning: Bayesian, Linear, Polynomial, Generative, Instance-based, Ensembles;
- frequent sets and associative rules: Apriori, Eclat, FPG;
- classification tasks: CNN, Faster R-CNN, ResNet; 
- detections: YOLO, HOG; 
- segmentation: U-Net, ResNet;
- feature engineering, exploratory analysis, model selection, data visualization.


Technical stack:
Programming Languages: Python 3
ML: Scikit-Learn, XGBoost, TensorFlow, Keras, OpenCV
Data analysis: Pandas, SciPy, NumPy, MS Excel
Data Visualisation: Matplotlib, Seaborn, Plotly
DBMS: PostgreSQL, MySQL
Other: Linux, Git, Docker
Professional interests: natural language processing, computer vision, recommendation systems, bioinformatics and medicine, sales optimization, big data.
I am looking forward to an interesting project and a friendly team in which I can reveal my full potential and learn something new