Stacey Smith Email & Phone Number

Chicago, IL, US

Greater Chicago Area

The firm focuses on blending prescriptive and cognitive Analytics with progressive business strategy. Concentrating in the Financial Services, Healthcare, Public Sector and Energy.MUFG Bank - Developed Tableau dashboards to track resource project allocation over time. Built Python scripts to help automate ETL processesWarner Brothers Discovery - Created a.

Greater Chicago Area

Helping Analytical Professionals Identify and Obtain New Opportunities to Continue their Career Trajectories:Focus Areas:Predictive AnalyticsData ScienceMachine LearningBusiness Intelligence

Chicago, Illinois

Led all analytical efforts to support and grow the Wealth Management business which has over $200B in AUM- Introduced new third-party information within the organization to help identify over $100MM in asset opportunity amongst deposit only clients that were incorrectly moved to a low touch service model.- Developed client segmentation based on current and.

Greater Chicago Area

Increasing Penetration and SOW in All Commercial LOBs-> Implemented a robust high value prospecting (HVP) model in Illinois for Business Banking-> Uncovered significant CRA opportunities for Small Business lending-> Completed RM coverage optimization to help identify under and over served areas in terms of customer management and prospect development->.

Performing predictive and transformational analytics in the Financial Services, Healthcare, Utilities and Public Services space.-> Helped USPS cut wait time and retail staff costs in small post office locations by using transactional basket analysis and statistical modeling to identify self-service propensity.-> Built customer segmentation for Ameren.

Used statistical modeling techniques to apply attitudinal-based segmentation to the wealth portfolio. The analysis helped to identify opportunity for wealth advisors to increase Harris' share of assets among current clients and develop talking points for prospective clients.Developed business cases for business banking direct marketing campaigns to help.

Produced campaign reporting for client's direct marketing efforts which helped drive RBS Citizens to become one of the top tier banks on the east coast.Tracked results over time and measured the correlation between market condition indices and response model performance to explain campaign performance.Created test designs to identify the most optimal offer.

Assisted with the launch and implementation of the Discover's first commercial card. Led testing and selection of third-party data providers. Used consumer data to project initial launch approval rates and develop business case.Provided insight on how marketing could maximize profit and still achieve new account goalsCreated new segmentation for current.

Provided marketing with statistical consulting ranging from sample size estimation to estimating the effects of product parameters on key drivers through regression analysis Helped in the development and implementation of the innovative Balance Transfer Surfer model. This model predicted the event of a new cardmember attriting once the balance transfer.

Managed analytical support for New Account Operations to improve fraud detection and boost card activity.Provided analytical support for Acquisition Marketing initiatives, which included next generation segmentation, Scored triggers, and experimental design.Served as analytical consultant for Finance by re-engineering the acquisition NPV process. Created.

Developed a brand allocation model to help determine which brand to cross-sell current cardmembersValidated new acquisition risk model and its effects on future acquisition and portfolio performanceManaged relationship with credit bureaus by coordinating special tests and model sample production.

Helped to create and implement a Multi-Card Strategy model. The strategy determined which card should be offered in a solicitation based on past response and demographic information.Performed discriminant analyses on New Movers lists to determine what factors drive their higher response rates.Validated numerous response models to determine their.

Developed customer predictability models to improve shareholder enrollment.Created many ad-hoc and automated reports to support the efforts of the regional sales teams.Performed complex segmentation analyses to drive effective customer solicitations.

Helped to set up new Infoscan and scanner stores for US and international businessHelped to determine the price distribution of UPCs in international markets using SAS and statistical methods (non-parametric test, ranking test, and some simple regression) Assisted in the creation of a Frequent Shopper Program response models.

Built statistical models to predict fee-income product retention

Masters Of Science, Applied Statistics

Bachelor Of Science, Statistics