Problem
Fortune 500 client was producing unstructured, unactionable risk management data flows across diverse subsidiaries.
Results
Lower-friction data workflows created the possibility for informative feedback loops, enabling management to act decisively to implement targeted risk-reduction practices mechanisms netting millions of dollars of savings over multiple years.
Actions
I joined a team managing data processing flows for the parent company client. Quickly adapting to the construction industry, I built a model dataflow process and managed variations on the model for different subsidiaries. Using R and python, I streamlined preprocessing and visualization steps and educated risk management staff on how to systematically use and act on the data.