• Improved customer lifetime value (LTV) prediction accuracy by 18% by developing regression models using Lasso
and Ridge Regression to identify high value customers.
• Implemented JIRA-driven data audits, resulting in 14% increase in accuracy across vendor management systems.
• Built multiple dashboards using PowerBI to monitor vendor performance across categories. Based on these
results, renegotiated contracts with multiple vendors resulting in an annual cost savings of $265,000.