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Director Customer Analytics @IDT Corporation
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WORK HISTORY
Director Customer Analytics @IDT Corporation
Chicago, IL, US
Director within enterprise-wide analytics organization responsible for mentoring data science personnel, driving analytic capabilities to magnify business impact, and evangelizing the overall usage of data science within business processes and decision-making.
EDUCATION
DePaul Driehaus College of Business
Master of Science (M.S.), Predictive Analytics, Marketing analytics concentration
Saint Joseph's University - Erivan K. Haub School of Business
MS, Business Intelligence & Analytics
Northern Illinois University
BS, Molecular Biology
SKILLS
ABOUT KEN N.
I am an accomplished data science, analytics and engineering executive who has provided extensive technical and business leadership throughout my career. This has been demonstrated across numerous successful cross-industry and cross-function machine learning, data science and engineering, business intelligence and analytics implementations, all with the goal of leveraging fact-based insight and analytics to further transform and develop strategic decision-making, customer engagement and retention, operational and spend-related efficiencies.I have extensive experience with the data and analytics engineering life cycle in all stages,(data pipelines, modelling and architecture, business intelligence, data science, and advanced analytics) including stakeholder engagement, conceptual development, tool selection, architectural design, business direction and vision, product ownership, requirements gathering, design, implementation, and management.I have also maintained a strong focus on keeping my hands-on knowledge and skills contemporary which has resulted in a broad and comprehensive knowledge of all major cloud, database, analytic and business intelligence tools/platforms.I have directly managed teams of various sizes that have been a combination of local and globally dispersed groups.Specialties: • Overall data strategy, data science and engineering, analytics design and implementation• Stakeholder Management and Engagement• Data engineering Architecture, Design, and Implementation• Predictive Analytics, Quantitative Analysis, Machine Learning and Data Mining• Digital Analytics, Marketing analytics, Human Capital Analytics, revenue management, profitability analytics• Sales Lead & Referral Management • Marketing/Customer Research
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