Position: Python Developer
Category: Python
English level: fluent
Years of experience: 1

Bachelor in applied mathematics.
Finished coursera courses:
Introduction to Data Science in Python by University of Michigan
The Data Scientist’s Toolbox by Johns Hopkins University
What is Data Science? by IBM
Stochastic processes by HSE University
In university classes I worked with publicly available datasets and solved tasks with supervised learning techniques. I am familiar with processing and cleaning data using pandas library for Python, as well as using scikit-learn for creating regression models.
I studied and created several neural networks, which include:
- Multilayer perceptron (MLP).
- Probabilistic neural network (PNN).
- Convolutional neural network (CNN).
I have a lot of experience with matplotlib for visualizing output data. I used it for data science classes as well as many mathematical modeling assignments.