Vladislav Ligay

- Developed kaspi.kz/red and kaspi.kz/maps, which provide information about the bank's amenities and special offers. The websites have over two million unique monthly users. - Designed a system to recommend locations for cash-in ATMs, which are based on internal and external spatial data from open sources such as 2GIS, Google Maps, and the Yandex map. The system is used in the final decision. Led a team in the development of QR payments. QR payments allow customers to make payments using their phones. Customers can pay with a debit or credit card, or take out a loan. This makes QR payment very popular among the bank's clients. - Designed microservice architecture for SME services and initiated the shift from the monolith architecture to microservices.

- Developed parser bots for data collection and analysis - Developed recommendation models based on collaborative filtering - Developed models to predict churn and default.

- I have researched various approaches on classifying male/female browsing interests - I have built a model to predict male/female interests based on rich Skimlinks data.