Chris Linn Email & Phone Number

Southfield, Mi, Us

•Data Science Leadership & Tech Evolution - Built a high performing Data Science team aimed at advancing analytics across the agency. Foster a collaborative culture focused on continuous learning. Mentor associates to equip them with expertise in workflow automation and predictive modeling, guiding them to become certified data scientists. Implemented state-of-the-art cloud solutions such as Microsoft Azure & Databricks to revolutionize and advance our tech capabilities.•Marilyn’s Commerce Marketing Mix Model (Marketing Attribution) - Developed a full funnel marketing mix model and budget recommendation product that improves client campaign performance by an average of 21%. Lead the product strategy, focused on gathering requirements from marketing experts and architecting an end-to-end solution. Oversee the data infrastructure and automation of ETLs. Lead the creation and deployment of best-in-class predictive and optimization models to estimate ROI and optimize future marketing budgets. Partner with BI developers to deliver results in an interactive user-friendly dashboard tailored to diverse user personas. Methodologies include: Linear Regression, Random Forest, XGBoost, Causal Inference, and Mixed Integer Linear Programming.•Marilyn’s Predictive Planner (Budget Planning) - Spearhead the development of Predictive Planner, an innovative self-service application that empowers marketers to create data-driven marketing plans. Lead within a cross functional team to drive the product from ideation to launch. Manage data flow integration and oversee the development of sophisticated optimization and simulation models, enabling recommendations of the tactics and budget needed to maximize campaign returns. Methodologies include: Mixed Integer Linear Programming and Monte Carlo Simulation

Bentonville, Arkansas, Us

•Path Data Science Lead - Led 4 data scientists to develop a patented Store Evolution & Lifecycle Management Engine. Built automated intelligence to provide project site selection recommendations, budget estimation, scheduling, resource allocation, and post audit measurement. Application reduced travel expenses by $10M and transformed a multi week planning process to minutes. Methodologies include: Linear Programming, KNN, Lasso, Mixed Regression, SVM, Ordinal Regression, Random Forest & XGBoost•Market Optimization v3 Data Science Lead - Led 4 data scientists to evolve a world class, patented site selection application. Built advanced predictive models to provide sales estimates for new stores, pickup, delivery, & closures. Pioneer in calculating cannibalization while coalescing with sales predictions & omni demand to create location specific NPV forecasts & optimized market recommendations. Methodologies include: Spatial Analytics, Linear Regression, Gravity Model & Genetic Algorithm• REP Data Science Lead - Led 2 data scientists to create automated machine learning solutions. Built a predictive model to estimate damaged fixtures in a store & eliminate the need for associates to count damaged fixtures. Delivered savings of $27M & eliminated 128k manual hours. Methodologies include: SMOTE Sampling, Random Forest, XGBoost, LightGBM & Ensemble Voting•Covid19 Vaccine Distribution - Led 2 data scientists to build an application to assist Walmart Health in selecting stores for Covid19 vaccine distribution, while allocating vaccines per store. Recommendations automatically displayed in a Tableau mapping solution. Methodologies include Spatial Analytics, Clustering & Optimization•Agile Champion - Transformed & matured the agile practices of a 21-member team. Provided training, built a one stop shop to manage all projects & sent weekly alerts identifying tasks that needed attention. Agile metrics improved 56%, while providing real time project visibility

Bentonville, Arkansas, Us

•Awarded FY19 Q3 Associate of the Quarter Award for Walmart Technology Digital Solutions•Competitive Impact Application - Built a self-service Alteryx application to estimate the sales lift/loss caused by competitor closures/openings. Estimates are created using a Gravity Model and Spatial Analytics. App assists leaders in Marketing, Finance, Merchandising, and Real Estate to understand potential impacts when creating a competitive strategy.•Fixture Assessment Model - Built a KNN & Clustering Model to estimate fixture damages for ~30M fixtures for all departments and stores. Model estimates are built into Walmart's Realty Execution Platform (REP) and are a core element to automated fixture ordering for all Remodels. Model is the primary driver in saving 128k manual scoping hours annually, while providing consistency and ease in the scoping and ordering process to improve accuracy by 36% and help save ~$27M in fixture spend. •Path's Scheduling & Assignment Optimization - Built a self-service Alteryx application using mixed integer linear programming and spatial analytics to appropriately schedule store Remodels and Special Projects and assign field associates to lead each project. App and models help reduced travel expenses by ~$10M, limited store disruption during remodels/special projects, and transformed a multi-week process to a 2-hour process. App's success served as the basis for Path, which has evolved into a patent pending strategic planning tool to manage all of Walmart Real Estate Remodels and Special Projects.•Ad Hoc Analytics & Support - Maintain, automate, and enhance a variety of legacy analytic applications, while assisting senior leadership with ad-hoc analytics.

Bentonville, Arkansas, Us

•Awarded Walmart FY17 Technology Genesis Award for Outstanding Performance within First 2 Years of Employment.•GNFR Predictive Ordering - Used Linear Regression, Survival Analysis, and Clustering to estimate each store's upcoming weekly usage of plastic bags, toilet paper, and paper towels. Estimates are automatically updated each week and are used to push supplies to stores, eliminating the need for store associates to manually order these supply items. Allows associates to dedicate more time on the sales floor, ensures stores have enough supplies during peak sales weeks to prevent sales loss, and reduces expenses related to emergency orders. •Built a Decision Tree Model to recommend if a store should be open 24hrs. Recommendations considered features like hourly sales, crime, shrink, and competitor hours with the goal to find stores where we could reduce expenses, protect associates, and reduce shrink.•Ad Hoc Analytics & Support - Maintain, automate, and enhance a variety of legacy analytic applications, while assisting senior leadership with ad-hoc analytics.

Stillwater, Ok, Us

Assisted and supported academic faculty in teaching related duties and research within economics, communication, management, and human resources.

Bentonville, Arkansas, Us

•Used various statistical techniques, including linear regression, to uncover which factors lead to underwhelming grand opening performance.•Conducted various analyses on the sales performance of Walmart's initial Online Grocery Pickup pilot (previously Grocery Home Shopping) and presented findings to executive leadership.

Plano, Texas, Us

Provided excellent customer service and created a positive shopping experience by connecting with customers to understand their wants and needs, while maintaining appropriate merchandise levels to drive sales.

Birmingham, Alabama, Us

•Oversaw store's sales effort and supervised operations to ensure efficiency and profitability. Consistently achieved sales and labor goals.•Conveyed the company's policies, goals, and standards to the store's sales team of approximately eight associates and kept communication lines open to District Manager and Corporate Office.•Initiated various grassroots marketing campaigns to drive sales and increase community awareness. One successful campaign was hosting youth football pad fittings in the store for local leagues, bringing an additional 200+ families to the store in a three-day span.

Birmingham, Alabama, Us

Provided excellent customer service and created a positive shopping experience by connecting with customers to understand their wants and needs, while maintaining appropriate merchandise levels to drive sales.

Chicago, Illinois, Us

Developed as a leader during a management program through mentor relationship building, various in-store rotations, program development to drive sales, and structured retail training.

Chicago, Illinois, Us

Provided excellent customer service and created a positive shopping experience by connecting with customers to understand their wants and needs, while maintaining appropriate merchandise levels to drive sales.

Us

Followed safety policies while ensuring efficiency when operating machinery in a fast paced, team environment to assemble high quality products that met company and consumer standards.

Birmingham, Alabama, Us

Provided excellent customer service and created a positive shopping experience by connecting with customers to understand their wants and needs, while maintaining appropriate merchandise levels to drive sales.

Master Of Business Administration (M.B.A.), Marketing Analytics

Bachelor Of Science (B.S.B.A.), Marketing