Dmitry Muzalevskiy is a Lead Data Scientist at Audibene, where he leads data science and machine learning initiatives. His career spans more than 8 years of applied machine learning across telecom, retail, banking, fintech, and medtech, giving him a broad view of how ML creates value in very different industries.

At Audibene he focuses on moving models from experimentation to production, along with the leadership work that comes with a lead role, from shaping projects to supporting the data scientists around him. Working across so many sectors has shaped a pragmatic approach: match the method to the business problem, and measure success in impact rather than complexity.