This AI Career Playbook outlines a focused strategy for building a career in Generative AI Data Science. It addresses today’s industry challenges—skills gaps, ethical AI use, and cross-functional demands—while projecting opportunities and risks shaping the field by 2030. The plan provides a clear 24-month roadmap, from mastering GenAI tools and frameworks to building a strong portfolio, engaging in industry networks, and positioning for high-demand roles. It also highlights uniquely human strengths—critical thinking, ethical reasoning, creativity, and communication—as lasting differentiators in an AI-driven world. Together, these elements form a practical, future-ready strategy to thrive in the global AI economy.

In this simulation-based venture capital challenge, I acted as a junior investment analyst to evaluate EduMentor, an AI-powered edtech startup. I validated financial metrics such as ARR, CAC, and LTV; assessed market potential, team strength, and traction; and drafted a professional investment memo. This project sharpened my ability to combine quantitative and qualitative analysis under realistic VC conditions.

A creative content campaign crafted for MindBloom Co. as part of the Write to Influence challenge. Includes rewritten product descriptions, multi-tone adaptations, and a blog post addressing Gen Z mental wellness.