Elliott Mitchell

CEO

Dallas, Texas, United States16 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in Marketing Analytics and Data Science.
Proven track record in predictive modeling and data-driven strategies.
Strong leadership in cross-functional teams and innovative solutions.

Stackforce AI infers this person is a Marketing Analytics expert with a strong focus on Data Science and Predictive Modeling.

Contact

Skills

Core Skills

Product ManagementData AnalysisData ScienceMachine LearningForecastingDatabase MarketingPredictive ModelingRisk Management

Other Skills

AnalyticsBudgetingBusiness AnalysisBusiness AnalyticsBusiness DevelopmentBusiness IntelligenceCRMCollaborative FilteringConsumer BehaviorCustomer InsightData ModelingDecision TreesDelegationDigital MediaEmerging Trends

About

Business leader who happens to know a little bit about technology and statistics. I practice open networking to anyone except sales people.

Experience

Keurig dr pepper inc.

3 roles

Sr. Director, Media Measurement

May 2025 – Present · 10 mos

Sr. Director, Marketing Analytics & Technology

Promoted

Feb 2021 – Present · 5 yrs 1 mo

Head of KDP’s Marketing Analytics & Technology team delivering innovative solutions to build brands and drive business outcomes for our portfolio of iconic brands.

Consumer BehaviorStrategic InsightsBusiness DevelopmentTeam LeadershipOpportunity IdentificationProduct Development+13

Director of Data Science

Mar 2017 – Feb 2021 · 3 yrs 11 mos

Consumer BehaviorStrategic InsightsBusiness DevelopmentTeam LeadershipOpportunity IdentificationProduct Development+13

Amazon

Manager, Forecasting Analytics

Jul 2015 – Mar 2017 · 1 yr 8 mos · Seattle, WA

Solved big data problems related to Amazon's Long Range Forecast; Fulfillment by Amazon (inbound space) and Amazon's Consumer Business.

Consumer BehaviorStrategic InsightsTeam LeadershipProduct DevelopmentProduct ManagementEmerging Trends+7

Brierley+partners

2 roles

Manager, Analytics - Consumer Insights

Promoted

May 2015 – Jul 2015 · 2 mos

Work with clients to provide database marketing services to meet business needs. My work included:
Development (+SME) of Collaborative Filtering and Recommender Systems
Development of Predictive Models: Logistic/Linear Regression, Decision/Classification Trees;
Development of Segmentations: Customer, Product and Customer-Product Hybrid;
Sample Design;
Cohort Matching;
Campaign Design and Optimization;
Data Analysis; and
Leading Data Analysts in Advanced Analytic Projects

Consumer BehaviorTeam LeadershipProduct DevelopmentProduct ManagementEmerging TrendsData Modeling+7

Sr. Data Analyst

Jan 2014 – May 2015 · 1 yr 4 mos

Work with clients to provide database marketing services to meet business needs. My work included:
Development (+SME) of Collaborative Filtering and Recommender Systems
Development of Predictive Models: Logistic/Linear Regression, Decision/Classification Trees;
Development of Segmentations: Customer, Product and Customer-Product Hybrid;
Sample Design;
Cohort Matching;
Campaign Design and Optimization; and
Data Analysis;

Consumer BehaviorTeam LeadershipProduct DevelopmentProduct ManagementEmerging TrendsData Modeling+5

American national bank of texas

Senior Portfolio Risk Analyst (Risk Analytics)

Dec 2012 – Jan 2014 · 1 yr 1 mo · Terrell, TX

Manage Credit Scorecard Strategy
Oversee Model Risk Management Activities, including Policy, Model Assessments, and Validation Tracking
Support Enterprise Risk Management program
Track Economic trends and perform Economic Forecasting

Consumer BehaviorData ModelingMachine LearningForecastingRisk ManagementData Analysis

Citi

Predictive Modeler - Credit Scorecard/Statistical Modeler

Jun 2011 – Dec 2012 · 1 yr 6 mos

Development of Predictive Models for internal clients across varying products and geographic regions. Management of projects at all steps from pre-planning through implementation. Key project points include, but are not limited to, defining project goals, estimating impact, providing timelines, data transmission, data cleansing, preliminary analysis, vintage analysis, roll-rate analysis, data building for modeling, modeling, validation, scorecard coding, and implementation assistance (including score cut-off and strategy recommendations).

Consumer BehaviorData ModelingMachine LearningForecastingPredictive ModelingData Analysis