Daniel Torres

Daniel Torres is a Principal Data Scientist at Veridian Insights, specializing in advanced Marketing Analytics. With 14 years of experience, she focuses on harnessing the power of data to drive tangible business outcomes, particularly in optimizing customer lifetime value (CLV) and refining retention strategies through sophisticated predictive modeling. Daniel holds an M.S. in Applied Statistics from the University of California, Berkeley, where her thesis explored Bayesian methods for marketing mix modeling. Her professional philosophy centers on demystifying complex analytical concepts, making them actionable for marketing professionals at all levels. She believes that true marketing intelligence emerges not just from data collection, but from rigorous analysis that uncovers causal relationships and empowers strategic decision-making. Readers can expect her articles to provide practical frameworks, cutting-edge methodologies, and real-world case studies that bridge the gap between data science and marketing strategy, enabling them to build more effective and data-driven campaigns