Juan Mora Email and Phone Number

Personalization Analytics• Migrated, tested, and now deploy the customer Uplift Model originally in SAS now in GoogleBigQuery• Score the customer base using the Uplift Model monthly, generating over $2 MM in incremental sales• Automated the At-Risk model in Python enabling the team to execute on a new campaign• Iterate on new methods, enhancing features, and designing tests for both At-Risk and Uplift models

Kroger Rx Health Personalization and Loyalty (Jan '21 - Present)• Enhanced lookalike models that have driven over 100,000 new Patients into Kroger Rx Initiatives• Developed a Workflow generating a KPI Dashboard now used in over $1.5 MM of marketing decisions• Transferred 15 Kroger Rx programs with SAS dependencies on to the newer Hadoop Environment• Provided guidance on Market Sizing and Marketing Mix to the Kroger Health team on 16 campaignsCommercial Platforms, Kroger Travel and Kroger Auto (Dec '19 - Dec '20)• Trained a Gradient-Boosted Model that helped Kroger sell over 1,000 cars in it's  first year• Built New Venture Dashboards that visualize the type of customers engaging in Kroger Auto/Travel• Presented technical Data-Science results to external Partners• Generated the statistical insights used to engage the conversation of future new venture programsData Science Development Program (Jun '19 - Nov '19)• Rotated across 3 business lines learning skills ranging from cloud computing to Tableau• Automated Feature engineering in GCP that links to on-prem data servers• Trained a Random Forest model to predict customer churn behavior for di erent grocery modalities• Built an Alteryx Workflow running several scripts that generated a Tableau KPI Dashboard

• Performed input-output analysis to analyze and forecast energy sector supply-chain employment• Combined 16 global-scale datasets using dplyr to produce a fully automated R program• Made predictions for the total change in employment based on forecasted energy consumption• Trained a random forest model to predict which power plants follow a load-following profile

• Automated logistical, sales, and manufacturing processes in Excel VBA• Created an adaptive cut-sheet generator which produces all items needed for a garage door• Changes in profit margins by product are now readily observed by the Business Leadership Team• Monthly supply costs are now quickly and accurately calculated in Excel based on sales

• Compiled and analyzed trade data sets for the African and Asian foreign markets• Produced regression models in R and visuals in Excel on International trade statistics• Provided the results that helped determine the feasibility for Arizona-based companies to expand internationally• Assisted companies ranging from peanut butter manufacturers to armored vehicle specialists

• Tutored students in mathematics from introductory-level college algebra through multivariate calculus and probability theory. • Was part of a new University initiative to provide additional resources to ASU students by having an online medium. A usual online session would have anywhere from five to ten students, all with varying needs of assistance. • Key abilities utilized were time management, patience, and the ability to troubleshoot situations under a limited time.