Smart Automapper
Automatically maps the raw clinical trial data into pre-conformance and conformance format
AirflowFlaskPostgresDockerKubernetes
Smart Auto-mapper is a ML augmented data transformation system. During clinical trains the data is sourced from different systems, cleaned, parsed and tested for discrepencies. Smart data mapper is the stage before the final data delivery where the data is converted from user specific format to the expected format in the final system
I’ve primarily worked on the data pipelines that consumes the model and runs the transformation.