Position: Machine Learning Engineer (Computer Vision)
Category: Data Science
English level: upper
Years of experience: 1

Prediction of number of total coronavirus cases in Ukraine, South Corea, USA, Kanada etc.

Repository with many educational code snippets in the field of Data Science using sklearn, pandas, PIL, keras, numpy, scipy, sympy, matplotlib, plotly, seaborn. Also, there are lots of mathematical articles as Jupyter notebooks. 

Library for executing Assembly code with Python using GCC.

Cars detection on parking places using conv2d and xception as base model. 

Keypoints detection in the american football field using heatmaps and unet.

Route time prediction service based LinearRegression with big preprocess of data fitted on data from OSRM and Google.

Route optimization algorithm using greedy algorithm implemented using C++, OpenCl and python.ctypes.

Python library that allows store models topology in text files, not in the souce code. Based on regexps parser and context-free grammar.
- 6 months of experience at Trementum Analytics in the position of Data Scientist and year of experience at university working in the field of deep learning and CPU/GPU calculations. At T.A. I was collecting data using requests and different API's and then I processed it. 

- I was writing educational articles in the field of Data Science on the Code Blog portal. 

- one year of experience at Requestum Software in the Computer Vision field and classical Machine Learning.
I want to impore myself in the Machine Learning field, solve difficualt and interesting problems, work in the team of professionals and get new knowledges in math and computer science at all.