Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 1.5


Technical stack:​ PyTorch, TensorFlow, OpenCV, Pillow, Numpy, Pytesseract, Pandas, Plotly, Matplotlib

Main areas:
- Machine Learning(supervised, unsupervised), 
- Deep Learning(Keras, Tensorflow, PyTorch), 
- Python(numpy, scipy, scikit-learn, pandas, etc), 
- Data Visualisation(matplotlib, plotly), 

Research project:
Real time visual speech synthesis: studying influence of future context for coarticulation modeling. It was
investigated how the Bidirectional Gated RNN performs face articulation of French and German languages with
range of future context information.

Final project:
Detection and recognition of text on images from social networks. The project pipeline consisted of several
stages. Pre-processing, searching for areas with text in the image, cropping and correcting the angle,
recognition of the text, evaluation of the result based on the created metric.

Currently, I’m deeply involved with machine learning and mathematics approaches.
It is pleasure to work with a lot amount of data and building models for mathematical description of dependencies of these data. But I prefer projects, which could make better usual life using Computer vision or NLP, it is interesting and its encourage me to work more )