Tech Stack: Python, Java, Kaldi, DeepSpeech, Tacotron 1⁄2, FastSpeech 1⁄2, Git, Docker, Linux, Bash, pandas, numpy, scikit-learn, statsmodels, matplotlib, seaborn, PyTorch, Tensorflow, Keras, OpenCV, deep learning algorithms/models (ANNs, CNNs, LSTMs)

Expert’s cases:

1. Develop speech recognition and synthesis systems for Kazakh and Russian languages. I have over 3.5 years of experience in applying data science and machine learning techniques to various domains, such as health, education, and robotics.

2. Leading the courses of 'Data Science' track. Where I teach several courses as:

   • Programming in Python (with the emphasis on Data Science)

   • Introduction to Machine Learning

   • Deep Learning

3. Responsible for scientific research works of masters and doctorate students in CSSE department.