Business Insights Manager
Current- Conducted regression analyses using Python and SQL to respond to economic pressures, informing strategic decisions that led to 21% increase in funds on deposit.
- Developed machine learning solutions using Python libraries (scikit-learn, Pandas) on AWS SageMaker to tackle rising default rates in post-COVID economic climate, leading to 12% decrease in bad debt write-offs.
- Led 2 internship cohorts in enhancing analytics capabilities using Python, SQL, and Power BI within an Agile Scrum framework, resulting in 50% increase in project efficiency.
- Developed roadmaps for implementing data analysis and machine learning development processes, conducted stakeholder interviews leading to increased project acceptance rate.
- Completed vendor assessments reducing costs by 80%, and communicated cloud-based system architecture plans enhancing data equity, availability, and accuracy.
- Applied BIRCH hierarchical clustering using Python and scikit-learn for product development and optimizing customer conversion channels, resulting in 10% increase in approval rates.