Passionate about all things Machine Learning and web services.
Magnum Cash & Carry LLP Almaty, Kazakhstan
Machine Learning Consultant, (August, 2019 – Present)
• Implementing ETL pipeline with: PostgreSQL, Elasticsearch, Airflow, Docker
• Constructing item2item, cat2cat, cat2item (contextual) recommendation system in retail
• Deploying Django Web-Service for product statistics and API for communication with e-commerce system
Kaspi Bank JSC Almaty, Kazakhstan Data Miner, Kaspi Data Factory (May, 2019 – August, 2019) • Data modeling using SAS Guide/Miner/Python • Production and financial processes analysis • Construction of decision-making and forecasting statistical models
Republican State Enterprise, IICT Almaty, Kazakhstan
Data Science Researcher (July, 2019, – Present)
• NLP Monitor’s open-source contributor, system for media monitoring and info-guidance tracking
• Sentiment Analysis
• Word embedding classification and clustering
• Topic Modeling (LDA, ARTM, BigARTM)
Junior Data Scientist, (November, 2018 – July, 2019)
• Data Preprocessing
• Data Visualization
• Data Analysis
• Web Scrapping
Veon Ltd, Beeline Almaty, Kazakhstan Intern, Big Data Department (September, 2018 – November, 2018) • Testing new hadoop yarn cluster
KazAtomProm JSC, LLP «Karatau» Shymkent, Kazakhstan Automation Specialist, (July, 2017 – August, 2018)
Yandex.Money & Yessenov Foundation Data School 2019 Almaty, Kazakhstan Course in Machine Learning (June, 2019 – August, 2019)
V. B. Barakhnin1,2,3, R. I. Muhamedyev3,4,5, R. R. Mussabaev3, O. Yu. Kozhemyakina1,3, A. Issayeva4, Ya. I. Kuchin3, S. В. Murzakhmetov3,4, K. O. Yakunin3,4 Methods to identify the destructive information // Journal of Physics: Conf. Series. - 2019. - V. 1117. 10 p. - http://dx.doi.org/10.1088/1742-6596/1117/1/012001 (Scopus,Q3,Sjr=0.24) https://iopscience.iop.org/article/10.1088/1742-6596/1117/1/012001
Kuchin Yan, Murzakhmetov Sanzhar, Mukhamedyev Ravil, Symagulov Adilkhan Yakunin Kirill Assessment of the dynamics of publication activity in the field of natural language processing and deep learning //International Conference on Digital Transformation and Global Society. – Springer, Cham, 2019. – С. 130-135. (in Communications in Computer and Information Science, Q3,h=40, sjr=0.17)
K. Yakunin, B. Kasymzhanov, Y. Kuchin, A. Symagulov,S. Murzakhmetov, T. Buldybayev, R. Mukhamedyev. Application of machine learning “black boxes” explainers in the development of a recommendatory system for improving the quality of school education//The 17th INTERNATIONAL CONFERENCE INFORMATION TECHNOLOGIES AND MANAGEMENT 2019, April 25-26, 2019, Information Systems Management Institute, Riga, Latvia. -ISMA,2019.- C. 60-63.