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[mitjasha]

Составить список всех (важных) жизненных событий, выдающихся дат, достижений, периодов, давших приятный и неприятный опыт и т.д. В этом конкретном случае длинных списков не бывает, вместо этого бывают плохо свернуты, поэтому упаковываем сюда все подряд, а о "лишних" событиях можно будет умолчать позже. Список должен быть систематизирован и посортирован таким образом, чтобы читатель быстро понял "паттерн" и мог легко ориентироваться в пространстве и времени этого резюме.

[mitjasha]

Education

• November 2018 - May 2019 – Educational Center of HTP

  Course: Data science fundamental Description: Mathematical foundations of Data Science, Machine Learning Algorithms, Neural Networks, Image recognition, Computer vision, Natural language recognition, Time series, Recommender systems

• September 2019 – Deep Dive Into The Modern AI Techniques (National Research University Higher School of Economics)

  Courses:

  - Introduction to Deep Learning

  - How to Win a Data Science Competition: Learn from Top Kagglers

  - Bayesian Methods for Machine Learning

  - Practical Reinforcement Learning

  - Deep Learning in Computer Vision

  - Natural Language Processing

  - Addressing Large Hadron Collider Challenges by Machine Learning

• August 2019 – Deep Learning Specialization deeplearning.ai (Coursera)

  Courses:

  - Neural Networks and Deep Learning

  - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

  - Structuring Machine Learning Projects

  - Convolutional Neural Networks

  - Sequence Models

• May 2019 – Online non-credit course authorized by IBM and offered through Coursera

  Courses:

  - Advanced Machine Learning and Signal Processing

  - Applied AI with Deep Learning

  - Fundamentals of Scalable Data Science

• 2015- November 2019 – Belarusian State Agrarian Technical University

  Specialization: Postgraduate student (correspondence course)

• 2008-2014 – Belarusian State Agrarian Technical University

  Specialization: Master of technical science

Work experience

• November 2018 – May 2019 – Trainee, Educational Center of HTP

  Project role: Researcher

  Project description: In this research, we propose a deep learning based approach for speeding up the topology optimization methods. We leverage the power of deep learning methods as the efficient pixel-wise image labeling technique to perform the topology optimization as an image segmentation task.

• May 2012 – present – Lecturer, Belarusian State Agrarian Technical University (BSATU)

  Main responsibilities: Teach disciplines "Computer Mechanics", "CAD", "Design of agricultural machinery", "Basics of designing and testing agricultural machines", "Fundamentals of scientific research and modeling". Scientific activities.

• August 2017 – March 2018 – Thermal engineer, Huawei Technologies (Minsk R&D Department)

  Main responsibilities: Theoretical research of the process of heat exchange. Create the mathematical models for simulate vapor chamber and heat pipes.

• July 2016 – August 2017 – Researcher, United Institute of Informatics Problems (UIIP)

  Main responsibilities: Work with supercomputer systems and applications, GRID-technologies. Computer-aided engineering analysis. Geometric and finite element modeling of technical objects.