• Developed, trained, and tested regression models to predict product conversion among our network of over 700,000+ suppliers• Prevented over $400,000 of fraudulent transactions by building a fraud platform in PowerApps that leverages 20+ different weighted fraud tests• Designed multiple PowerBI reports for our invoice indexing and scanning departments to help identify operational inefficiencies• Tapped into multiple APIs via Python to pull in external data used for modeling

• Enabled timely and cost effective compliance testing methods through full population control test automation using tools such as Python, PowerBI, SQL, and Azure DevOps and create a time and cost savings of over 80% for clients• Presented insights to business leaders and clients by summarizing conclusions and analytical findings• Ensured analytical solutions scale efficiently by collaborating with data architects• Identified potential areas of risk and fraud by developing stored procedures in SQL and fuzzy matching logic in Alteryx, designing interactive PowerBI reports to highlight data anomalies in our internal audit platform• Bridged the gap between the business leaders and vendors by gathering requirements, developing user stories, and confirming acceptance criteria is met

• Collected, cleansed, and transformed six multi-million row datasets for analysis using cleansing techniques such as data imputation, normalization, and summarization using Alteryx and R• Developed predictive and prescriptive models to optimize store manager performance at 126 retail stores by conducting exploratory data analysis and modeling• Implemented data envelopment analysis and clustering techniques to group store managers based on financial, human resource, and customer metrics• Demonstrated our team findings to the VF Corporation's Director of Data Analytics by summarizing our analytical findings into easy to read Tableau dashboards Community Involvement