Matt McKim

Analytics Professional


The University of Alabama

Master of Business Administration

Business Analytics — 3.89 GPA

Auburn University Montgomery

Bachelor of Science in Business Administration

Information Systems — 3.92 GPA



Associate Director - Retail Analysis

March 2014 - Present

  • Developed internal analytical framework capable of reducing standard coding efforts by approximately 75% to allow analysts to spend more of their time discovering insights and delivering value to clients.
  • Lead data science projects focusing on collaborative filtering techniques to design highly personalized recommendation systems which were shown to be 150% more relevant than the baseline approach.
  • Mentored the professional development of analysts while scoping and providing resource recommendations for external client projects.


Senior Associate - Retail Analysis

March 2013 - February 2014

  • Regularly presented analytical insights and recommendations to Kroger's leadership including monthly KPIs and ad hoc insights that were used to drive strategy and set investment forecasts
  • Improved and maintained key customer segmentations including substantial updates to customer value, store type, and digital engagement segmentations.
  • Utilized multi-terabyte databases on a broad array of analysis projects to improve customer loyalty and increase retailer sale


Senior Associate - Digital Personalization

October 2012 - February 2013

  • Developed targeting methodology for digital coupon pilot using ensemble and model scoring techniques to identify and score customer need states based on RAD criteria (retain, acquire, develop)
  • Designed digital cohort selection methodology to allow for A/B testing and long-term benchmarking of digitally engaged customers
  • Streamlined daily ETL interface between Linux and Windows environments to allow for data to be published and scored three times as frequently


Senior Associate - Data Solutions

June 2011 - October 2012

  • Automated name and address target matching for customized direct mail campaigns resulting in a 400% increase to annual campaign processing capacity
  • Updated direct mail print allocation process to allow for more flexible client participation which contributed to a 10% gain in incremental campaign revenue for variably allocated campaigns
  • Designed billing and invoice verification system for direct mail and digital marketing campaigns which decreased invoice processing by several weeks and virtually eliminated billing errors
  • Delivered 100+ direct mail and digital campaigns to multiple vendors while ensuring data security and client confidentiality were maintained


  • Python
  • SAS
  • Oracle
  • Java
  • R
  • Hadoop
  • C
  • Scikit-Learn
  • Bash
  • C++
  • Tableau
  • Git

Matt McKim — — 334.546.6820