Led model development across 5 business units for a accounts receivable management portfolio totaling ~30 million active accounts. Created supporting data pipelines in MS SQL, MS SISS, and Python for batch scoring of all incoming accounts to dictate appropriate account treatment. Managed relationships with client SMEs to obtain additional data inputs to further improve model accuracy.

Assisted in the testing & development of model scoring process for a accounts receivable management portfolio. Provided ad-hoc support as needed to fulfill client forecasts and other analytics-related tasks.

Assisted in the design and implementation of analytics solutions across Financial Services, Communications, and Life Science Industries. Collaborated with client stakeholders in defining functional requirements and informational needs for analytics reporting tools. Embedded predictive analytics methodologies into on-going business processes to improve decisions and strategy using modern technologies.

Performed market mix modeling analyses for a large scale CPG client. Utilized syndicated IRI/Nielsen data sources to develop statistical models that effectively portrayed market structure. Examined product distribution, in-store merchandising, promotional activity, and macroeconomic variables to better understand what drove portfolio sales.

Analyzed customer and transaction data using structured query language (SQL). Explored factors contributing to year-over-year sales change in client markets, ranging from economic to weather variables, using multiple linear regression using SAS and R. Performed market and customer segmentation using existing data outlets. Assisted in evaluating loyalty program effectiveness of a large scale casual dining corporation. Created in-depth data visualizations to provide clients with insights to make successful business decisions.

Utilized Microsoft Dynamics GP to update existing asset management database. Reconciled discrepancies in cataloged information technology assets by developing a relational database using Microsoft Excel.

Conducted statistical analyses, including multidimensional scaling and generalized linear regression models, to help evaluate trends among water quality, aquatic organisms, and transportation infrastructure. Assisted in the preparation and editing of project reports.