Machine Learning for Regulatory Data Compliance in Automotive Software Sector

Supported a large automotive software company in achieving regulatory compliance following an international merger by implementing regional segregation of sensitive data. Utilized machine learning to identify datasets specifically related to the new regulatory requirements, enabling targeted segregation that was previously not technically feasible.