Jennifer Vaughn Email & Phone Number

Austin, Tx, Us

Seattle, Washington, Us

• Lead a team of 10 data scientists and analysts, scattered across 5 different time zones. • Provide data science & analytics support to both the product and marketing organizations for 6 mobile games.• Led the development of predictive models to help optimize the in-game experience, including a segmentation framework that helped deliver a 5% revenue lift in just the first event launch and $1.3 million in annual incremental revenue.• Implemented generative AI and automation that resulted in annual savings of more than $350K• Started a data science roadshow series to promote our data science work across the entire company.

Atlanta, Georgia, Us

• Managed the Advanced Analytics team and the corresponding roadmap.• Managed a team of 17 data scientists and analysts located in 3 different offices, across 3 different time zones.• Managed all predictive modeling and predictive analytics work within the Marketing organization.• Built the first suite of machine learning models that were used for Marketing; net benefit of $17 million in incremental revenue• Built the entire system of models that powered personalization within all Home Depot emails.• Built a recommender system that delivered product recommendations daily and weekly.• Received 13 different Homer Awards for modeling & analytics work

Round Rock, Texas, Us

• Managed modeling roadmap for Consumer and SMB Global CRM team.• Managed internal resources and vendor resources and assignment of modeling and analytics tasks.• Built numerous predictive models for B2B and B2C marketing efforts.• Led and managed all uplift modeling work and implementation efforts. Impact of the uplift modeling work was over $35 million in incremental revenue over a 2-year period.• Silver Level Achievement award for implementation of uplift modeling (Jan. 2011)

Round Rock, Texas, Us

• Lead statistical modeler for the Global CRM group.• Built predictive model to identify transactional business customers that should be transitioned to a relationship segment based on predicted spend. • Built internal house-holding process for Consumer and helped lead effort to publish this house-holding data in the Data Warehouse. Total Operating Income benefit from this effort was $1,454,898.• Created new prospect purchase propensity model for Direct Mail that resulted in year-over-year increases in response of over 60%.• Led analysis and modeling effort on a customer sales segmentation project which resulted in a $3.2 million increase in operating income per quarter.• Recipient of 3 Circle of Excellence Awards - Significant Achiever

Bba, Statistics

Mba, Business