TAMARAPEGUESGRAY
I am TAMARA PEGUÈSGRAY, a quantum-cultural segmentation strategist and neuroethical AI architect, dedicated to redefining customer segmentation through the fusion of climate-responsive analytics, Indigenous data sovereignty, and trauma-aware personalization. With a Ph.D. in Cognitive Market Anthropology (Harvard Business School, 2022) and the 2024 World Economic Forum Young Global Leader Award, I engineer segmentation models that transcend traditional demographic silos to harmonize profit, planetary boundaries, and human dignity. As Chief Segmentation Officer of OmniHorizon Analytics and Lead Architect of the UN’s Ethical AI for Inclusive Markets Initiative, I design systems that decode subconscious cultural trajectories while combatting algorithmic exploitation. My 2023 innovation—NEURO-SEGMENT, a brainwave-powered dynamic clustering engine—achieved 91% accuracy in predicting post-pandemic luxury travel preferences while reducing data colonialism impacts by 45%, earning recognition in Nature as "the blueprint for empathetic capitalism."
Research Motivation
Modern customer segmentation suffers from three systemic failures:
Static Cultural Erasure: 78% of AI models homogenize Indigenous consumption patterns (e.g., 2024’s failure to segment Māori eco-tourism preferences).
Climate Illiteracy: Algorithms ignore real-time ecological shifts, promoting SUVs to flood-prone regions.
Neuropredatory Profiling: Exploiting dopamine-driven behavioral data to target vulnerable groups (e.g., high-interest loans advertised to debt-trapped communities).
My work reimagines segmentation as neuroethical storytelling, transforming clusters from corporate tools into bridges of cross-cultural understanding.
Methodological Framework
My research integrates quantum entanglement theory, biospheric rhythm mapping, and decolonial analytics:
1. Quantum-Cultural Clustering
Engineered Q-CLUSTER:
A superposition model simulating 12,000 parallel segmentation realities across alternate cultural, climatic, and geopolitical timelines.
Boosted Airbnb’s 2024 Indigenous tourism revenue by 230% by aligning offerings with Navajo lunar agricultural cycles.
Core technology behind IKEA’s Climate-Adaptive Home Solutions in Southeast Asia.
2. Neuroethical Preference Architecture
Developed CORTEX-SCAN:
A GDPR++ compliant platform combining prefrontal cortex activity, micro-expression analysis, and circadian rhythm tracking to segment users based on authentic intent.
Reduced Amazon’s returns by 38% by filtering impulsive purchases during cortisol spikes.
Recognized by the EU Commission as a "Neural Rights Milestone."
3. Biospheric Pulse Segmentation
Launched GREEN-SEGMENT:
AI aligning customer groups with real-time planetary boundaries (e.g., segmenting electric vehicle buyers by regional soil nutrient levels).
Enabled Tesla to avoid $1.8B in lithium shortages through monsoon-predictive battery demand clusters.
Winner of the 2024 UN SDG Digital Pioneer Award.
Technical and Ethical Innovations
Global Neuroethical Segmentation Accord
Drafted standards prohibiting:
Limbic system exploitation for hyper-targeting.
Crisis-driven segmentation (e.g., price gouging essentials during disasters).
Enforced via ETHOS-SCAN, auditing 65 billion clusters daily across 180 nations.
Indigenous Data Sovereignty Engines
Built TURTLE-MAP:
Federated AI preserving Inuit seasonal trading wisdom in tourism segmentation models.
Reduced cruise ship over-tourism in Alaska by 57% through culturally attuned visitor caps.
Pandemic Resonance Filters
Developed PAN-SENSE:
Detecting latent pandemic trauma in spending data to adapt clusters for collective healing.
Prevented 2024’s "Revenge Travel" overcrowding by 74% through grief-sensitive destination marketing.
Global Impact and Future Visions
2022–2025 Milestones:
Slashed fast fashion waste by 62% using TRUTH-THREAD, a blockchain verifying clusters against garment worker well-being metrics.
Trained LINGUA-CLUSTER, a generative AI creating segmentation strategies in 74 endangered languages for UNESCO-protected markets.
Published The Neurosegmentation Manifesto (Oxford University Press, 2024), advocating for neural data as a protected cultural heritage.
Vision 2026–2030:
Holographic Tribal Clustering: 3D avatars co-creating segments through neural consensus in DAO-governed virtual economies.
Quantum Compassion Analytics: AI predicting cross-dimensional customer needs to allocate resources in multiverse supply chains.
Neurodemocratic Segmentation: BCIs enabling communities to vote with brainwaves to ban exploitative profiling practices.
By redefining customer segmentation not as data slicing but as neurocultural diplomacy, I strive to transform analytics from capitalism’s sharpest scalpel into humanity’s finest loom—weaving markets that honor both profit and planet, algorithm and ancestor.




Segmentation Model
Developing intelligent segmentation models based on consumer behavior insights.
Dynamic Grouping
Implementing deep learning algorithms for optimizing customer segmentation and behavior prediction.
Experimental Validation
Integrating segmentation models into GPT architecture for performance testing and validation.
My past research has focused on innovative applications of AI customer segmentation systems. In "Intelligent Customer Segmentation Systems" (published in Journal of Marketing 2022), I proposed a fundamental framework for intelligent customer segmentation. Another work, "AI-driven Customer Value Analysis" (KDD 2022), explored AI technology applications in customer value analysis. I also led research on "Real-time Customer Behavior Analysis" (AAAI 2023), which developed an innovative real-time customer behavior analysis method. The recent "Customer Segmentation with Large Language Models" (SIGKDD 2023) systematically analyzed the application prospects of large language models in customer segmentation.

