Position: Machine Learning Engineer
Category: Python
English level: fluent
Years of experience: 0

C1 English, experience with Python, C++ and C#. Knowledge of OOP principles, Design Patterns and SOLID principles. 
Experience with processing data with Pandas and Seaborn and Matplotlib, and training models with Tensorflow Keras, elements of sklearn.
Experience with Django, Django ORM, Docker, Celery, Bootstrap, Pandas, NumPy, Matplotlib and TensorFlow
Here is the list of my projects:
Django Gamified Task Manager - I've made this tool for myself to gamify my time management process. The project has a PostgreSQL database. The frontend was made using Bootstrap and jQuery. It also features parallel tasks via Celery.

MNIST Handwritten Digit Recognition - I've trained a neural network which passed the MNIST Dataset Kaggle challenge. The neural network was implemented with TensorFlow, the data was extracted, processed and outputted with Pandas.

Socket Strings Game - this is a simple Python project implementing sockets with a little string game.

C++ DBMS - this is a C++ project aimed to get a grasp of the core principles behind the work of modern DBMSes. This project implements two tables from my Django Gamified Task Manager (connected with a One-To-Many relationship) with pure C++. 

Python Numeric Methods Projects - this is a series of Python scripts implementing numeric methods for:
a) Approximating the root of an analytically unsolvable equation (the equation is predetermined) with a set precision parameter (3 methods)
b) Solving a system of linear algebraic equations with the Simple Square Root method and Jacobi's Iterative method - uses NumPy and Matplotlib.