Nicholas Sarris

· Lead and develop analytics strategies to optimize marketing performance, customer acquisition, and retention.

· Build and maintain ETL reporting pipelines using a modular design to support business stakeholders with real-time insights.

· Conduct advanced statistical analysis and machine learning modeling (e.g., linear regression, logistic regression, random forests, k-means clustering) to drive decision-making.

· Implement Python-based optimization techniques to maximize profitability under business constraints.

· Present actionable, data-driven recommendations to leadership, influencing marketing and business strategy.

· Mentor and train university Co-Ops and interns, fostering analytical and business acumen skills.

• Create profitable strategies for Direct Mail and Email products using available data and existing statistical models
• Manage all the Existing Customer Management Reporting using Power BI, SQL, and Microsoft Excel
• Conduct analytical research into business problems including but not limited to: delinquency, approval odds, multi-product cross sell, and customer retention
• Generated $7MM profit for personal loan product in 2022 and provided strategies to decrease the delinquency rate by almost 33%

• Developed automated reports in SQL Server Management Studio and Microsoft Excel saving co-workers and supervisors time on manual tasks
• Optimized existing processes using SQL Server Management Studio, Tableau, Microsoft Access, and Microsoft Excel