How to Leverage My Existing Database as a New MLO

Hallo…

I just passed my test to become a Mortgage Loan Originator (MLO), and I’ve got a solid list of about 19,700 leads from my decade in real estate. Most of these leads are from Zillow and Trulia—some have closed, but a lot haven’t. I’m still adding new leads every day, too.
I’m trying to figure out the best way to market to this list I already have. Is it as simple as sending out an email blast about refinancing or checking how much equity people have? I’m experienced in real estate but pretty new to being an MLO, so any tips on how to tackle this would be awesome.

Regards…

Encode categorical variables, normalize or standardize numerical data, and develop new features as needed. To assess model performance, separate your data into sets for testing, validation, and training.

Determine which features are most pertinent and have a substantial impact on the target variable. :thinking: To uncover hidden patterns, combine or modify current features to create new ones.

Adjust hyperparameters to maximize model performance by employing strategies such as grid search or random search. :thinking:: To evaluate the performance of the model, choose pertinent metrics (such as accuracy, precision, recall, F1-score, etc.).

Select an appropriate platform (such as cloud-based services or REST API) to enable applications to use your model. :face_with_raised_eyebrow: Make sure there are enough processing power and scalability to support workloads in production.

Use Scikit-learn, PyTorch, TensorFlow, and other tools to construct and train models.For managing the complete MLOps lifecycle, take into consideration platforms such as MLflow, Kubeflow, or AWS SageMaker.