

As a builder and data practitioner, I specialize in translating complex analytical concepts into functional, real-world tools and interactive frameworks. My technical foundation is rooted in open-source development and business intelligence, highlighted by my proficiency in advanced BI tools like Power BI—where I architect business dashboards to surface actionable insights—and my package development work, notably creating and publishing auroraviz on PyPI, a modern Python library engineered for clean, minimal-ink data visualization.
Additionally, I integrate Generative AI and prompt engineering workflows directly into my development processes, utilizing large language models to optimize data pipelines, accelerate code generation, and automate reporting tasks.
To build an adaptable, cross-disciplinary skill set, I have systematically completed approximately 30 targeted micro-internships spanning a diverse spectrum of industry tracks. This intensive execution cycle has allowed me to deliver hands-on solutions across data visualization, project management, AI/ML, data science, pure Python engineering, digital strategy, and product marketing.
By operating across these varied domains, I have sharpened my ability to quickly contextualize data from different business units, ensuring that the software and pipelines I construct are always aligned with broader organizational strategies and user-centric problem-solving.
Projects
Internships




Data Analysis
Dashboard Creation
Music
Chess