• Ownership of implementing robust system to ensure the reproducibility and testability of machine learning models. This has enabled an organization to make informed decisions quickly and efficiently, reducing decision-making time by 76%. • Implemented a production performance degradation service, allowing for monitoring and identification of performance issues in machine learning models. This has resulted in a significant drop in the key proxy metric, from 18.9% to just 4.4% • Through the use of predictive analytics and offering of value-added services, driving 3.7x business growth of SaaS platform.

• Model predictions injection into the existing or yet non - existing decision making process. This has transformed the organization’s application processing speed from 3 applications per hour to 1 application per second pipeline • Delivered points of expertise regarding data quality control, estimating direct impact on ROI and turnover. This has resulted in a 50% reduction in operational costs during SME assessment and saved 12,500 hours. • Developed pipelines for data cleansing, transformation, and generating embeddings, utilizing Feature Stores and schedulers to reduce feature latency by 80%. Lead the whole compliance reporting unit with the team of 5 data related experts.

• Collaborative filtering and content based filtering recommendations: working with anonymised data provided by Taobao e-commerce. Implemented prediction models achieving 1.2x increase in Average order value based on users behavior. Helping merchants to increase their sales using personalized recommendations and promotions. • Utilize AI driven crowd sourcing to enhance the startup success predictions, decreasing FPR by 21%, resulting 1.2x ROI.

Optimized database performance and enhance data management processes by means of querying via stored procedures, functions powered by CTEs, VIEWS, the window functions. Redundant data retrieval has been optimized by 80% • Streamlined and optimized the data processing workflow, ensuring efficient and accurate data preparation for the ML Feature store, accelerated ML model iterations by 3x.

Model-driven data warehousing with data transformations and built-in reporting.

School of Software Engineering, Master of Software Engineering

Инженерно-экономический факультет, Информационные системы и технологии(в экономике)

Computer Science and Software department, Artificial Intelligence systems based on crowd sourcing

CIRRUS Program, Camp for International Talents

Beijing Institute of Technology Research Center , Data Visualization and Correlation Analysis

Beijing Institute of Technology Research Center , Intelligence Science

Big Data Trunk, Big Data Internship Program

Epam Systems, Java based Test Automation

System Technologies, Базы данных

Epam Systems, Oracle BI

Amazon, AWS