About Selma
Selma Dogic is an experienced AI and Data Science leader based in Atlanta, GA, with over a decade of expertise in transforming data into strategic insights that drive business growth and operational excellence. She specializes in enterprise AI strategy, predictive modeling, and responsible AI practices. Known for her ability to bridge the gap between data science and executive decision-making, Selma is passionate about advancing analytical maturity and building a strong data-driven culture within organizations.
Experience
At Carter’s, Selma Dogic leads the Analytics Center of Excellence, spearheading enterprise AI and machine learning initiatives. She partners closely with executive leadership to embed predictive analytics into strategic planning, delivering measurable impact across marketing, supply chain, and customer analytics. Her work has driven significant results, including a 10–30% improvement in long-range forecasting, $1M+ in marketing spend optimization, and a 10% improvement in distribution center labor efficiency.
Before joining Carter’s, Selma held data science and analytics leadership roles at The Home Depot and NCR. Earlier in her career, she contributed to policy-impacting economic research and analysis at Georgia State University.
Selma serves as a board member for the Technology Association of Georgia’s Analytics & AI Society and Cloud Society. She is a frequent industry speaker, with featured sessions at Data Connect, Collide Data Conference, and Tableau’s national webinars.
Her work in data science and AI strategy is also showcased on platforms like YouTube and at leading analytics events across the U.S.
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Products
01
Top 5 Analytics Use Cases Starter Templates
Kickstart your analytics initiatives with this curated collection of high-impact use cases across marketing, operations, and finance. Each template includes sample KPIs, recommended data inputs, and modeling techniques to help your team move from idea to insight—faster.
02
AutoML Use Case
Playbook
Explore the most valuable ways to apply automated machine learning (AutoML) within your business. This playbook outlines real-world scenarios, success criteria, and model design patterns—helping you go from concept to POC with clarity.
03
Data Quality
Health Check
A tactical checklist to help identify and resolve common data quality issues hiding in your pipelines, reports, and source systems. Use it to uncover blind spots, reduce manual fixes, and build stakeholder trust in your data.
featured work
Bringing Thought Leadership to Life
Selma is a published writer and speaker with a passion for storytelling and knowledge-sharing. Offering unparalleled expertise in data strategy, providing distinct advantages that drive growth and innovation, learn more from Selma's featured work..
Analytics Interpreted
Selma served as a contributing author in Analytics Interpreted. The book is a curation of thought leadership, experience-based perspectives and frameworks across the spectrum of the most relevant and pressing topics in analytics.
Identifying the Why Why: Strategies to understand true problems and questions for data science projects
As a part of the Technology Association of Georgia's Data Talk series, Selma sat down with Dr. Beverly Wright to discuss:what do we mean by the why-why, the difficulty of getting to the real question, and strategies to help uncover the true reason behind the analytics.
Analytics Everywhere - Building a Business-Led Analytics Strategy
Presented at Data Science Connect, Selma focuses on developing analytics strategies that are driven by business needs rather than solely by technology. With an emphasis on aligning analytics initiatives with business objectives to ensure relevance and impact, Selma offers valuable perspectives for integrating analytics more deeply into business processes.