• Created training curriculum and framework for the broader decision science community• Partnered with senior engineering leadership to prioritize and recommend customer householding enhancements

• Developed process for scaling measurement framework to 800+ campaigns with over 24,000 possible measurement combinations• Benchmarked campaign performance metrics for sales, clickstream, and behavioral metrics for all retail media campaigns• Collaborated with senior digital and merchandising leadership to prioritize technology enhancements• Validated internal clickstream data accuracy against comparable performance metrics in new ad server

• Consolidated on- and off-premise data sources into Tableau reporting framework• Migrated reporting framework from Teradata, Google Analytics, and Azure database into Azure database

• Prioritized and completed, in 2020, over 100 ad hoc queries, statistical models, and targeted marketing cam-paigns for Drug Store, General Merchandise, and customer aggregate enhancements• Built Tableau reporting to provide leadership insights into customer engagement trends: customer growth, re-gion performance, category performance, and customer penetration across digital platforms

• Prioritized ad hoc queries, statistical modeling, and targeted marketing research for Drug, General Merchandise, and customer aggregate enhancements• Built standardized reporting in Tableau to provide leadership insights into customer engagement trends: customer growth, region performance, category performance, and customer penetration across digital platforms• Created K-Means based clustering model to identify customers with similar behavior across kitchen products• Designed a customer acquisition model using Random Forest to identify customers that are likely to begin shopping General Merchandise

• Perform the same responsibilities as the Sr Analyst

• Maintained and upgraded code base for delivering monthly and quarterly reports measuring customer behavior reports• Created reports leveraging SAS and SQL to identify promotion investment across several markets with differing levels of corporate investment• Assessed the effectiveness of in-store and targeted marketing campaigns through Euclidean distance household match and ANCOVA methodology• Automated standardized reporting from SQL and R code base in Linux leveraging shell scripting techniques• Created data visualizations with Tableau to highlight key customer behavior trends across markets within divisions to support customer retention and activation strategies• Leveraged a standardized process to identify potential brand and product substitute pairs for product rationalization within a subset of storesCore Programming Languages/Tools: R, SAS, SQL, Linux, Tableau

• Developed layered logistic regression that mitigates 15% of monthly ATM fraud and assisted in the model implementation with vendors• Leveraged SAS Statistics to create customer cluster scores based on velocity and spending patterns to apply to neural modeling techniques• Automated heat maps and other reporting tools to identify emerging fraud trends leveraging SAS and SQL• Created geospatial and velocity databases for use within logistic regression techniques to isolate rare events in card present transactions• Communicated data ETL requirements for internally and externally developed software products for use across multiple fraud teams• Scraped internet data using Excel VBA to create reporting for internet transactions• Consolidated gaps in authorization data and leveraged logistic regression techniques with ROC curves to identify most efficient neural models• Segmented customer debit accounts using k-means cluster algorithms to reduce customer impact from decline rulesCore Programming Languages/Tools: SAS, SQL, Excel VBA

• Created and implemented department training plan for strengthening analytical talents of 30 analysts• Identified issues and potential JIRAs that arose in new $10 million software package to improve efficiency and functionality• Managed and communicated Infra tickets that I created to address issues with: data flow from more than 7 internal and external source, optimization through AIMMS, Tableau reports, and vendor interaction• Organized and led meetings to discuss and identify training needs with department managers, vice president, and senior analysts

• Developed and taught my peers a standardized methodology for estimating retails across 2,400 stores and multiple pricing divisions• Collaborated with peers in developing negotiation strategies based on my consumer research from customer shopper card data that led to a 17% increase in supplier investment• Identified and analyzed sources of cost savings in a $1 billion dollar per year category: cost parity across like items, customer spending patterns, and comparisons to competitors sales growth• Created Excel VBA tool to populate multiple product forms from a master data set to increase efficiency and clarity of negotiations on seasonal items• Taught peers an improved and more accurate method for estimating supplier growth trends used in benefits analysis for our research• Participated in a special project that will be used to train department members in a methodology for leveraging customer loyalty trends as negotiation tools

• Developed negotiation strategies that led to nearly $9 million in estimated savings• Assembled and interpreted large data sets collected from Dunnhumby, Nielsen, and internal databases using Tableau and Excel• Led weekly strategy development meetings to communicate data trends and identify negotiation levers• Acquired additional negotiation skills through participation in the training from the GAP partnership

• Demonstrated efficient data management and organizational skills through the assessment of coursework for students in: Principles of Microeconomics, Urban Economics, Environmental Economics, and Econometrics • Aided co-workers in establishing comprehensive grading standards and developing coursework for assigned classes• Taught statistical programming and econometric techniques using STATA to approximately 50 senior level economics students

• Identified and assessed the individual needs of students with courses in: International, Managerial, Principles of Micro, Principles of Macro, and Mathematical Economics• Mentored struggling students by assessing and correcting deficiencies in understanding of complicated principles, leading to enhanced learning and stronger academic performance • Worked independently with students in courses of all grade levels in economics as the only university sponsored tutor

• Collaborated with professors to organize research projects and correct data deficiencies using statistical methods in Excel in order to strengthen the curriculum used in classes• Simultaneously supported students from a variety of classes in studies ranging from basic principles to complex courses in economics by adapting to each student’s learning needs• Assisted Professor with classes of 40 or more students by fielding questions on basic and advanced economic problems with limited preparation time

• Evaluated coursework by making detailed corrections to homework and exams in: Principles of Micro, Principles of Macro, and Mathematical Economics• Managed the needs of a class through teaching select lectures and overseeing administration of exams