Maya OConnell

Principal Data Scientist, Marketing Analytics

M.S. Applied Statistics, Carnegie Mellon University; Certified Marketing Analytics Professional (CMAP)

14+ years experience

Credentials

Maya OConnell is a Principal Data Scientist at Veridian Marketing Insights, bringing 14 years of expertise in leveraging data to drive superior marketing outcomes. She holds an M.S. in Applied Statistics from Carnegie Mellon University, which underpins her rigorous, data-first approach to marketing challenges. Maya specializes in predictive modeling for customer lifetime value and advanced attribution, helping global brands like Zenith Consumer Goods and Horizon Digital optimize their marketing spend and strategies. Her professional philosophy centers on transforming raw data into clear, actionable intelligence that directly impacts business growth. She believes that true marketing innovation stems from a deep understanding of customer behavior, illuminated by robust statistical analysis. Readers can expect her articles to delve into practical applications of machine learning in marketing, demystify complex analytical concepts, and provide frameworks for data-driven decision-making, always with an eye towards measurable ROI. She is the lead author of the influential white paper, 'The Causal Impact of Micro-Segmentation on ROI Uplift,' published through the Marketing Analytics Review

Articles by Maya OConnell