Data Analyst

• Spearheaded a Financial Investment Dashboard in an Agile team of 4, resulting in a tool for analyzing and visualizing investment data. • Collaborated to create full-stack applications, leveraging Python, Flask, SQL (MySQL, SQLite, MariaDB), HTML/CSS, JavaScript, and third-party API integrations. • Completed 300+ hours of training focused on mastering data structures, algorithms, and full-stack web development. Presented the project to over 136 stakeholders, receiving positive feedback for its innovative approach.

• Completed a 4-week intensive externship program focused on building viral product MVP and leveraging AI for user stories and acceptance criterias resulting in a 30% increase in product viability and a 40% reduction in decision-making time. • Acquired a framework for validating product-market fit hypotheses and conducted 20+ customer interviews, using UAT Testing and A/B testing to contribute to a 25% improvement in product-market fit, a 15% increase in user satisfaction. • Learned to leverage cutting-edge AI tools(Anthropic, GPT)to enhance product development, resulting in a 20% improvement in product efficiency.

• Developed tailored fundraising strategies, leveraging donor segmentation and philanthropic trends to increase contributions and strengthen stakeholder relationships.