Thiago Henrique Carvalho

Financial advisory firm specializing in sponsorship and public funding capture

• • Led the 0→1 development of an AI-driven Revenue Operations Platform integrating public Government APIs and internal data pipelines, reducing manual research and outreach by 60% and securing $5M in capital.

• • Architected a SQL- and Python-based competitive intelligence engine to enrich, score, and prioritize prospects using multi-source data, significantly improving prospecting accuracy and pipeline efficiency.

• • Built real-time ESG and Marketing performance dashboards, reducing executive decision-making time by 30% and aligning the product roadmap with revenue and margin targets.

• • Led a cross-functional squad of engineers, designers, and analysts, defining North Star metrics and automated KPI pipelines to continuously measure funnel efficiency and ROI.

• • Leading a phased AI roadmap: built and deployed the first phase, an LLM-powered sponsor matching engine using public and proprietary data; currently developing the next phase with automated, personalized email outreach to present opportunities and invite prospects to meetings, targeting shorter sales cycles and more qualified conversations.

• • Led the digital transformation of internal workflows by building a proprietary operations platform, reducing operational overhead by 20%.

• • Developed data-driven forecasting models to optimize $600k+ annual budgets across 50+ enterprise projects, managing workflows for thousands of attendees and on-site staff per year.

• • Standardized operational playbooks and implemented process automation, increasing delivery capacity by 35% while maintaining 95%+ stakeholder satisfaction.

Brazilian D2C eyewear brand

• • Launched a 0→1 D2C e-commerce platform, capturing 25% of total revenue within 6 months.

• • Increased checkout conversion by 15% using Python and SQL user behavior analysis to identify and remove funnel friction points.

• • Reduced cart abandonment by 20% through UX improvements validated via A/B testing and iterative experimentation.