Applied Statistics & Data Science
Reproducible analysis, statistical modeling, visualization and practical workflows for working with real data.
Independent · Student-led · Early stage
Research, data and AI built to be useful.
Mocho is an independent research and technology initiative exploring practical ways to use statistics, data science and artificial intelligence to create accessible tools for research, education and public benefit.
About
Small by design. Serious about the work.
Mocho is a student-led independent initiative founded by Moises Ignacio Villena Mejia, a Statistics student at ESPOL. It exists as a space to develop research ideas, experimental tools, reproducible workflows and practical applications of AI and data science.
The initiative is currently independent and early-stage. Its goal is to turn rigorous technical work into tools and resources that are understandable, useful and accessible to more people.
Disclosure: Mocho is an independent initiative and is not affiliated with or endorsed by ESPOL.
Focus areas
Where Mocho is exploring.
Work is centered on areas where statistical reasoning, software and AI can improve how people learn, investigate questions and turn data into decisions.
AI-Assisted Research
Exploring responsible uses of language models to support research, synthesis, prototyping and technical workflows.
Educational Technology
Tools and experiments designed to make difficult technical concepts easier to study, explain and apply.
Open & Accessible Tools
Small, practical software and resources with an emphasis on accessibility, transparency and public usefulness.
Principles
Useful technology starts with good standards.
Mocho is not built around hype. The goal is to make careful, testable work that people can understand and reuse.
Build things that are clear enough to inspect, rigorous enough to trust and useful enough to matter.
✓
Accuracy
Prefer evidence, validation and explicit limitations.
✓
Reproducibility
Make methods and assumptions understandable wherever possible.
✓
Accessibility
Reduce unnecessary barriers to learning and using technical tools.
✓
Public benefit
Favor work that can create practical value beyond the project itself.
Contact
Interested in research, collaboration or what Mocho is building?
Follow the work on GitHub. A domain-based contact email will be added as the project infrastructure is completed.