I don't think you understand what dimensionality reduction means. SSN is a lookup key into the raw data. Dimensionality reduction is by definition lossy since

I don't think you understand what dimensionality reduction means. SSN is a lookup key into the raw data. Dimensionality reduction is by definition lossy since it's used in scenarios where: rows of data = n <<< m = number of features