Position: Middle Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 2

- Work with microcontrollers (Arduino);
- Received medical education;
Experience in the areas of Data Analytics, Machine Learning and Deep Learning. 
  
  The first direction was a project to forecast the sale of items in certain regions for the purpose of rational financing. Methods of applied statistical analysis and time series analysis were used.

  The second direction is related to the performance of various regression and classification problems by linear and nonlinear methods. To do this, I used the currently available classic models and tried to implement modern methods. For example, regression with Bayesian inference or the creation of optimization methods to find the global extremum.

  The third area is directly related to Deep Learning and its areas - Computer Vision and NLP. 
 1. With the help of convolutional networks I solved the problems of classification, semantic segmentation, and object detection. I have a practice of using encoding and attention technologies. 
 2. With the help of recurrent networks engaged in the development of chatbots and generalization of text data for further processing.
Engage in projects that have different directions and gain knowledge in new areas. Also I am inspired to gain new knowledge and share my own experiences.