SAMAD SAIFI

Developed and implemented AI-based engagement strategies, driving significant user growth and revenue within the spiritual tourism sector.

• Designed and implemented an AI-based engagement strategy that successfully increased user sign-ups by 18% within a 90-day period.
• Conducted and synthesized extensive cross-market research to craft personalized spiritual journey experiences for 5 distinct user demographics.
• Provided strategic counsel to leadership on AI-driven growth models, directly contributing to a 12% Quarter-over-Quarter (QoQ) revenue growth.
• Spearheaded digital transformation initiatives within the high-growth spiritual tourism sector, capturing 65-70% of total travel volume and showcasing market adaptability.
• Streamlined marketing funnels and automation workflows, leading to a 25% improvement in customer satisfaction scores.

Led market and behavioral research initiatives to optimize AI personalization features and drive user engagement within digital-health segments.

• Directed comprehensive market and behavioral research across three digital-health segments, optimizing AI personalization features for enhanced user experience.
• Analyzed over 10,000 data points to identify key user-engagement drivers, resulting in a 22% improvement in platform retention.
• Collaborated cross-functionally with product and design teams to translate research insights into new features, boosting daily active users by 15%.
• Managed the end-to-end data pipeline, from collection and cleaning to analysis, providing critical support for product development and business strategy.
• Presented actionable, data-driven insights to executive leadership, directly influencing product roadmaps and strategic health-habit recommendations.

Conducted competitive market research and demand forecasting using AI models to identify revenue opportunities and enhance operational efficiency.

• Executed competitive market research leveraging Machine Learning (ML) tools, uncovering over $3 million in new revenue opportunities.
• Developed and deployed AI models to accurately forecast demand trends, optimizing inventory management and informing strategic go-to-market planning.
• Provided strategic, data-driven insights to executive leadership, enhancing operational efficiency by 10%.
• Automated key reporting processes, significantly reducing manual analysis time by 30%.