We have access to 199,000,000+ subjects of real property in the United States.
We track all physical event(s) that impact the ownership of a piece of Real Property in the US. This offers us approx 2100 data points per subject.
A few examples include:
Dates properties are transferred.
How they are transferred.
What circumstances can be attributed to their transfer.
The parties that buy / sell along with individual profile attributes of such parties.
Amount of Equity in the subject properties.
Number of loans or debt against each subject along with critical information regarding the lenders.
We monitor court filings which may effect subject property records. These events include but are not limited to Divorces, Deaths, Probates, Loan Defaults and etc.
US financial markets and its impact on our data.
We collect between 30,000-50,000 new records daily.
Possible questions could be:
When a property is likely to sell.
What will a property sell for.
What type of buyer profile is most likely to purchase.
What type of lender profile is likely to lend on the property.
We have an interest to explore various algorithms with both Supervised and Reinforced AI support.
22 freelancers are bidding on average $23/hour for this job
We have a team of Data experts who have delivered various complex projects based on huge data stories. We have been awarded for our work too. Please share your availability to discuss about your project.
I am a part of Machine Learning solutions team and can guide you through the step by step process. I have hands on experience with Azure and share resources to help your team get started with demo/PoC.
Data Scientist, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing professional specialized in Python and R based programmming