Data Canon

Creating a unified treasury data source with predictive insights

I designed a multi-schema Snowflake system to unify scattered treasury data into one trusted source.

Developed a machine learning model that forecasts chargeoff risks, helping the treasury team act before issues arise.

Centralizing treasury data with precision.

Predicting risks with machine learning.

Ensuring consistent metrics department-wide.

It's a multi-schema Snowflake setup centralizing treasury data.

Our model analyzes past behaviors and payment patterns to forecast risks.

Centralization creates a single source of truth, improving data integrity and consistent reporting across the treasury department.

It offers actionable insights to proactively manage portfolio risk.

I led the architecture and development as treasury data consultant.