Data Analysis
Cleaning data, testing ideas, and building reliable analytical workflows in Python and Jupyter.
UC San Diego Data Science Student
Sebastian Ferragut
I build practical data projects that combine analysis, visualization, and privacy-conscious AI workflows. My work focuses on making technical ideas clear, usable, and well presented.
- Focus
- Data analysis, interactive visualization, and privacy-aware AI applications
- Strength
- Structured project work with clear technical communication
- Current Work
- Course and independent projects in Python, D3.js, and local-first AI tooling
About
Analytical work with a practical product mindset
I am a Data Science student at UC San Diego interested in data analysis, interactive visualization, and privacy-conscious AI applications. My project work emphasizes reproducible workflows, thoughtful interpretation, and clear presentation for technical and non-technical audiences.
Visualization
Designing clear visual explanations and interactive experiences that help users explore real datasets.
Applied ML Tools
Implementing practical machine learning and local AI workflows where privacy and usability matter.
Featured Projects
Selected work
Selected projects in data analysis, visualization, and applied AI.
Skills
Technical toolkit
Concise tools and workflows used across the projects featured in this portfolio.
Languages and Core Tools
Python, JavaScript, HTML, CSS, Pandas, D3.js, Jupyter
Analytical Workflows
Reproducible analysis, statistical evaluation, implementation, and clear communication in project teams
Delivery and Collaboration
GitHub, Chainlit, React, Docker, static deployment, and polished project presentation
Contact
Get in touch
Best way to reach me is by email. You can also find my work and profile on GitHub and LinkedIn.