My work at the intersection of AI, data, and storytelling blends technical skills with a strategic, human-centered approach. Through academic research, entrepreneurial projects, and hands-on experimentation, I’ve applied Python, natural language processing (NLP), and data visualization tools to uncover insights and craft narratives that drive action.
From analyzing public sentiment toward emerging technologies to developing AI-driven recommendation systems, I focus on translating complex datasets into clear, compelling stories for decision-makers and audiences alike. My background in communications and entrepreneurship equips me to bridge the gap between technical execution and market-ready solutions — ensuring that innovative ideas are both data-informed and audience-focused.
Tools & Skills:
Python (Pandas, NLTK, Matplotlib), Tableau, data scraping, sentiment analysis, strategic communications, project management, and ethical AI practices.
Work Example:
Below is a condensed look at ThinkTiny — a hypothetical business model and app concept I created to tackle a real-world problem. This project blends data-driven strategy, technical execution, and entrepreneurial thinking, using real-life data to inform every stage from concept to rollout. The slide deck distills the idea into a clear, visually engaging format, showcasing my ability to turn complex problems into actionable, market-ready solutions.
