Data Scientist

На данный момент Data Scientist.

Мои компетенции и опыт

I am a Computer Science graduate of Suleyman Demirel University at Almaty, Kazakhstan.
A year and half ago, I was excited with a sphere of “Machine Learning” and “ Data Analysis” and decided to run up my ambition in my career close to this sphere. Working with data, combines of lot interesting things, such as: creativity and extraordinary approach to solving tasks. Moreover, with the development of technology and using different architecture allow us not only build statistical models, but also with high accuracy imitate the work of the brain. I want to be a real innovator, creator and share this with the world, write scientific articles, develop and training machine and deep learning algorithms, which later can help automate processes and create real thinking intelligence.

I started my way in this area with the development of the Self Driving Car Simulator team at Unity3D platform. A team led by a supervisor worked of the project. I was responsible for data collection and training models. The aim of the project was the development of functionality for the logical engine of the machine, which recognizes an object, predicts for which lane to go and at what angle it is necessary to turn. Initially, we should have had three models, but we decided to combine tasks with the definition of the strip and the angle of one, saving on our resources. Collected data several times to improve the accuracy of the model.

Now, I am working at Alem Research on Data Scientist position. Our company is engaged in media monitoring of popular and social media networks, such as;VK, Facebook, Instagram, Twitter, Google+, Youtube. The main tasks are collecting large amounts of unstructured data, their subsequent processing, data visualization in the form of business reporting, analysis and further proposal on business process optimization and product improvement. The system allows to track the number of mentions of particular users in social networks, analyze their tonality, create themes for certain events, track popular info feeds. My responsibilities include development of predictive models and their wrapping in micro-services; development of crawlers for mining data which is required for training model support, the development of effective pipelines for processing data, as well as the study of new methods and technologies(R&D). There are several completed projects like analysis of text tonality, recognition of advertising in social networks, complaints identification. During this work experience at this company, I acquired skills in working with libraries of data analysis and machine learning (pandas, numpy,scipy, matplotlib, scikit-learn, keras, torch) at a high level.