Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 1.5

*The project for the thesis was related to face recognition, used OpenCV, Haar Cascade and Python
* University projects related to computer vision (edge detection, face mask detection)

**SUBTITLE GENERATOR**
Create subtitles for videos in real time. Learning and understanding how the
YouTube subtitle generator works, then understanding the algorithms and trying to
recreate the subtitle generator. I started with simple videos of 10-30 seconds each
with a distinct sound of speech, then complicating the whole process to videos of
5 minutes with background noise.

**RISK PREDICTION MODEL FOR BANKING SYSTEM**
A project related to the financial sector, where there was a huge dataset with bank
clients. I did data analysis, brought out a group of creditworthy clients and a group
to which it is not advisable to give loans. Trained a model that itself displayed
sorted groups and singled out clients with possible risks of not paying the loan, if
given to them.
**IT DEPARTMENT OF THE UNIVERSITY | Intern**
Learning Python and C++. Learning python libraries like NumPy, Pandas, Matplotlib Creating and visualizing graphs using ready-made solutions in Matplotlib and pandas During the training, datasets were chosen to test their skills. The project was called ”911 calls” and a project related to the financial sector where, using pandas, it was necessary to get information from the site. Studying machine learning and theory. Things like linear regression, logistic regression, k nearest neighbors, decision trees, and random forest have been
explored. Completed projects for the complete assimilation of educational material

**INSTITUTE OF INFORMATION AND COMPUTING TECHNOLOGIES |  MACHINE LEARNING INTERN**

Learning NLP and neural networks. Preparation and cleaning of datasets for
subsequent training of the model for recognizing human speech and displaying
human speech on the screen in text format. While working, I studied PyTorch, ANN,
CNN and RNN.  Simultaneously with work, I was doing a project to hone my skills in machine
learning and NLP. The project was related to the creation of automatic subtitles for
videos of various types. From documentaries to YouTube videos.

**KASPI.KZ | Junior Data Miner**
Analyzing banks partners for maximizing profits and stimulating activeness in products.