Nikolay Novozhilov currently serves as the Head of Data Science and Advanced Analytics at Bank of Singapore, Asia's Global Private Bank, where he plays a pivotal role in driving digital transformation initiatives. With over a decade of hands-on experience in data science across finance, e-commerce,...
Nikolay Novozhilov currently serves as the Head of Data Science and Advanced Analytics at Bank of Singapore, Asia's Global Private Bank, where he plays a pivotal role in driving digital transformation initiatives. With over a decade of hands-on experience in data science across finance, e-commerce, and retail, Nikolay has established himself as a leader in leveraging data to create actionable insights that enhance business performance. His expertise lies in building high-performing teams of data scientists and engineers, having successfully assembled a skilled group of around ten professionals dedicated to delivering innovative data solutions.
Under Nikolay's leadership, the team has shipped multiple high-impact projects that utilize advanced techniques such as graph analysis, natural language processing, and complex machine learning models. These projects not only streamline operations but also empower business users through intuitive dashboards and scalable data applications, effectively bridging the data-action gap. His commitment to democratizing data is evident in his regular training sessions aimed at upskilling business users, ensuring they can harness the power of data in their decision-making processes.
Nikolay's strategic vision encompasses not just the technical aspects of data science but also the broader business implications. He is adept at aligning data strategies with business objectives, driving growth through data-driven decision-making. His diverse skill set, which includes business strategy, financial modeling, and consulting, positions him as a key player in the bank's ongoing efforts to innovate and maintain a competitive edge in the rapidly evolving financial landscape. Through his work, Nikolay continues to demonstrate the transformative potential of data science in the banking sector, paving the way for a more agile and informed organization.
