Machine Learning to Match Address
Budget: $25 – $50 USD
I have a very large database with over 100M records. I need to find a machine learning expert that can us merge and append records from sources that contain slightly different fields or have some syntax differences.
Example:
we got 50M records from source A
we got 40M from Source B and this is information we need to combine with Source A.
The Property Address will sometimes be slightly off...maybe St is Street...or a unit number is reprrsented slightly differently. But we have fields like Owner Address or Living sqft that can add to the level of certainty in the match.
So, we need to have a script written that can run in the database to help in merging these records.
Example:
we got 50M records from source A
we got 40M from Source B and this is information we need to combine with Source A.
The Property Address will sometimes be slightly off...maybe St is Street...or a unit number is reprrsented slightly differently. But we have fields like Owner Address or Living sqft that can add to the level of certainty in the match.
So, we need to have a script written that can run in the database to help in merging these records.