True Bliss Sandoval

About True Bliss Sandoval

I build AI and data products that solve real business problems.Over 4+ years at AvePoint, I\'ve worked at the intersection of data science, product strategy, and AI development - owning roadmaps for analytics and AI initiatives, building predictive models that drove millions in value, and partnering with executive leadership to turn complex data into actionable products.WHAT I DO- Own product roadmaps for AI and analytics capabilities, balancing technical feasibility with business impact- Build end-to-end ML solutions: from requirements gathering and model development to production deployment and adoption tracking- Apply rigorous statistical methods - causal inference, experimental design, A/B testing - to solve ambiguous problems- Translate stakeholder needs into technical specifications and coordinate cross-functional deliveryWHAT I\'VE DELIVERED- Enterprise AI search platform (RAG, LLMs) indexing 20K+ documents with <15s response time and 95% accuracy- Marketing attribution system that drove $3M budget reallocation across channels- Predictive models for churn, lead scoring, and customer lifetime value informing strategic decisions- Self-service analytics and experimentation frameworks enabling data-driven cultureI thrive in fast-moving environments where I can combine technical depth with product thinking to deliver measurable business outcomes. Currently exploring opportunities in AI product management and data science where I can apply my experience building AI/ML products at scale.Specialties: Generative AI (RAG, LLMs), Product Management, Experimental Design, Causal Inference, Marketing Analytics, MLOps, Python, SQL, Azure AI, Stakeholder Management

Experience

1. Senior Data and Ai Analyst

   AvePoint

   Sep 2024 — Present · Jersey City, NJ, US

   Led AI strategy and execution across enterprise, leveraging early access to Azure OpenAI through Microsoft partnership. Built hybrid semantic+vector search system using Azure AI Search indexing documents with 30% monthly active users across all departments, democratizing business documentation for sales enablement, onboarding, and product research. Served as technical product manager coordinating global launches, prompt engineering, and roadmap development. Architected multi-agent competitive intelligence system using LangChain and reasoning models that automated daily battlecard generation from news sites, competitor websites, and SharePoint documents, delivering real-time insights via Teams and customer-specific web chatbot. Developed natural language to SQL agent prototype with medallion architecture and AI-optimized golden tables for querying CRM, product usage, and support data. Established AI infrastructure and best practices that transformed organizational capability from experimental to production-grade systems.

Education

• Harvard Business School Online

  Certificate in Big Data for Social Good

• Howard University

  Bachelor of Science - BS