AI & Data Visualization Focus
I focus on presenting AI-related information clearly: model behavior, dataset quality, and evaluation results in visuals that are easy to scan.
I am a student building practical projects with Python, Machine Learning, and visual-first communication.
My current focus is AI workflows (annotation, quality checks, model evaluation) and turning complex information into clear visual stories.
Explore Data Story Projects →Actively seeking internships and entry-level roles in Infographics, Visual Data Design, and AI Workflows
I focus on presenting AI-related information clearly: model behavior, dataset quality, and evaluation results in visuals that are easy to scan.
I follow a simple process: understand the audience, define the core message, structure the story, then design with hierarchy, contrast, and readability in mind.
I clean and label data, validate edge cases, summarize patterns, and convert findings into charts, callouts, and concise insight blocks.
I can support annotation and evaluation pipelines, then design clear infographic outputs for reports, dashboards, and internal communication.