This repository contains work/models utilized in the joint actuarial hackathons for years 2022+.
It is composed of three separate pieces
- Postgres
- Source data from the hackathon is loaded into a postgres database. Any additional outside sources would also be stored there.
- DBT
- This is the SQL transformation layer to clean/validate/connect data sources and generate data for models
- Lightdash
- Visualize and explore data summarized in the DBT layer
- Jupyter
- This will contain the models used to make predictions