David Brotherton

Lead Data Scientist @IBM

Columbus, OH, US
MOBILE NUMBERS
+19•••••••05

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WORK HISTORY

Feb 2016 — Present

Lead Data Scientist @IBM

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Columbus, OH, US

EDUCATION

1997

Carnegie Mellon University

BS, Social & Decision Sciences

2004

Carnegie Mellon University - Tepper School of Business

Master of Business Administration (M.B.A.), Computational Analytics in Marketing

2021

University of California, Berkeley, Haas School of Business

Executive Education, Leading Innovation Change

SKILLS

SupervisingManagementSurvey ResearchSpssCoachingStrategic PlanningData MiningMarketing ResearchBrand ManagementCross-Functional Team LeadershipMarketing StrategyHiring EmployeesBudget MonitoringNew Product Roll OutLinear ProgrammingLeadershipProject ManagementProduct MarketingData AnalysisBrand DevelopmentSegmentationBusiness Process ImprovementCustomer InsightMarket PlanningSas ProgrammingTeam LeadershipMarketing CommunicationsData ManagementCustomer Segmentation StrategyBudget ReconciliationOperating BudgetsPredictive ModelingProduct DevelopmentMarketing ManagementManagement ConsultingChoice ModelingPublic RelationsBusiness StrategyStatistical Data AnalysisSensory Evaluation

ABOUT DAVID BROTHERTON

I lead the data science function in the engagements and asset development projects my team and I work on. I am a thought leader and expert in- Helping organizations maximize their use of data to make more fact-based decisions- Translating business problems and objectives into value-added analytic goals and objectives- Working with sponsors, stakeholders, SMEs, practitioners, functional counterparts, and end users to make sense out of how data science and AI solutions and assets work and how to get the most out of them- Designing, developing, and deploying analytic capabilities within a process or organization-and running the teams needed to build and sustain themFirms/Clients that leverage my expertise include those that- Have a less formalized or mature analytics function in place but want one- Need help formulating an optimal set of analytics use cases and solutions to meet business needs- Want to engage in more fact-based decision making- Need to increase the ability to glean insights from data- Believe that analytics and AI solutions can replace many mundane tasks and add value

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