Large enterprise projects intended to suggest different approaches to communicating with clients to have the highest probability that the product owner will be able to sell the product. ML algorithms prepare all recommendations.

BigData project where the main goal was to implement and deploy a scalable system that is going to aggregate telemetry and fuel consumption data, analyze it on a daily basis and produce a report that can be consumed by the analytical team.

Large enterprise project with microservice architecture intended to govern, create, maintain, use, and analyze consistent, complete, contextual, and accurate master data information for all stakeholders, such as line of business systems, data warehouses, and trading partners. It provides a customizable framework of components that control the lifecycle management of master data, the quality and integrity of the data, and stateless services to control the consumption and distribution of data.

News service, where users can read/create/share different articles about all sports events in the world. Registered users can read and post messages, but unregistered users can only read them. Users access the service through the website interface.