We also build general, performant, data pipeline infrastructures for regular BI and analytics purposes. We ensure data quality and deliver operational analytics by orchestrating reliable data ETLs or streaming solutions. From customized scrapping systems, complex dashboards or full data architecture.
In mature teams, where the ML product is already generating value or needing to be built in the right way. We create production-ready ecosystems of ML modeling with the right MLOps, using code and data versioning, data cataloging (the data Science way), feature store implementations, ML data orchestration pipelines, data verification, continuous technical debt reduction, among other good practices.
We also build general, performant, data pipeline infrastructures for regular BI and analytics purposes. We ensure data quality and deliver operational analytics by orchestrating reliable data ETLs or streaming solutions. From customized scrapping systems, complex dashboards or full data architecture.
To train and build squads to autonomously handle their won data challenges.