client: Leading Ukrainian Bank
timeline: 12 Months
team: 7 Members
Project overview
A top-3 Ukrainian bank has been facing difficult times and numerous challenges.
Â
To maintain a leading position in the digital competition, senior management has decided to implement cutting-edge solutions such as machine learning, data analytics, and predictive modeling to address the current situation.
Challenges
A top-3 Ukrainian bank aims to maintain a leading position in the digital competition among its rivals
Missing expertise in top-notch ML & AI solutions
Layered project tasks
Nonprofitable mobile app without any impact as expected
Solution
We are unable to share all the details due to a strict NDA, but here is what we can disclose
We designed and implemented a data analytics and cloud-based ML prediction solution for the core functionality using AWS, Apache Airflow, Kubernetes, Spark, and Minio
In close coordination with the data engineers we built up several combined
— Data engineers
— MLOps with DevOps approach
— Full-stack developers
— QA engineers
We have implemented a consistent development process across all technical departments in the bank and established a shared pool of MLOps/DevOps engineers who can assist in building or expanding engineering teams
Added KYC elements in the MLOps environment for core business service
Results
The business experienced a significant surge in interest
5 new solutions were released for banking services over 6 months with AI and ML underneath
A new prediction model with KYC elements helped to attract new customers
Brand new turn-key KYC solution empowered the company to expedite its development plans and establish a robust foundation for long-term business expansion
