Nicole Pagel

· Spearheaded development of exclusive digital sales channel KPIs. Used ARIMA timeseries forecasting model deployed in AWS Sagemaker to predict client money flows and established success metrics based on forecasted vs. actual results. Drove $200m in new business in 2023

· Improved existing marketing client targeting framework using gradient boosting model in Python to better identify potential customers. Increased engagement by 35%

· Implemented A/B testing framework of product flows using SQL and Tableau to measure impact of sales and marketing event. Used LASSO regression in SciKit-Learn to predict territories that need additional support. Helped convert $70m in new business and retain over 200 clients

· Developed product sales model for retirement sales team that identifies sales opportunities using SciKit-Learn, SQL, and Alteryx, for data mining and classification modeling. Helped drive $2B in sales over 3 years

· Implemented framework for retail sales Regional Directors to identify opportunities for product support with branch advisors through linear regression analysis. Drove over 100 new conversations and supported $300m in new product sales

· Developed metric using text mining and NLP application, in Python pandas and numpy. Scraped Salesforce notes to identify product and educational programs offered through Schwab that were the most popular with both the sales team and clients to help drive budget decisions for the coming year. Improved efficient use of resources by 20%

Conducted research on modeling and statistical inference of temporal healthcare profiles in the jail population of Coconino County

Used linear regression, PCA, geospatial modeling and analysis on bat microbiome using R