# Parul Pandey

> Parul Pandey works at the intersection of AI education, developer relations, and data science. The site collects her technical writing, courses, talks, workshops, hackathon projects, book work, and community contributions.

Parul started as a data scientist and now focuses on making AI and machine learning easier to learn and apply. Her work includes technical content, LinkedIn Learning and O'Reilly courses, workshops, hands-on AI projects, responsible AI writing, and developer/community programs.

## Core Pages

- [Home](https://parulpandey.com/): Overview of Parul Pandey's work across AI education, developer relations, data science, courses, writing, and projects.
- [Writings](https://parulpandey.com/writings/): Technical articles on data science, machine learning, LLMs, responsible AI, Python, notebooks, and developer tools.
- [Courses](https://parulpandey.com/courses/): Courses and learning experiences, including LinkedIn Learning and O'Reilly Live Learning.
- [Hackathons](https://parulpandey.com/hackathons/): Competition and prototype projects, including Kaggle notebooks and applied AI demos.
- [Talks](https://parulpandey.com/talks/): Conference talks, webinars, podcasts, and workshops.
- [Interviews](https://parulpandey.com/interviews/): Interviews and external profiles.

## Notable Work

- [Machine Learning for High-Risk Applications](https://www.oreilly.com/library/view/machine-learning-for/9781098102425/cover.html): O'Reilly book co-authored by Parul Pandey, Patrick Hall, and James Curtis.
- [Practical LLMs for Modern Data Science](https://www.linkedin.com/learning-login/share?forceAccount=false&redirect=https%3A%2F%2Fwww.linkedin.com%2Flearning%2Fpractical-llms-for-modern-data-science%3Ftrk%3Dshare_ent_url%26shareId%3DvmR8qaAKQtiJNxGgbzLEMQ%253D%253D): LinkedIn Learning course on using LLMs effectively in data science workflows.
- [Marimo for AI and ML Development](https://www.oreilly.com/live/marimo-for-ai-and-ml-development.html): O'Reilly Live Learning course on using marimo for AI and ML workflows.
- [Kaggle profile](https://www.kaggle.com/parulpandey): Kaggle Grandmaster profile and notebooks.

## Recent Articles

- [Can This Model Run on my Phone?](https://medium.com/@pandeyparul/can-this-model-run-on-my-phone-f549353695b8?sharedUserId=pandeyparul): Article about understanding whether AI models can run on mobile devices.
- [The Conversation Around Tabular Data Is Back. The Tables Are Still Messy](https://medium.com/@pandeyparul/the-conversation-around-tabular-data-is-back-the-tables-are-still-messy-09d1eae5672b?sk=fc6727490165d3f6394504fed333e4bc): Article about tabular data, messy real-world tables, and the renewed interest in tabular workflows.
- [Three Ways in Which Ollama Makes Trying New Models Much Easier Now](https://medium.com/@pandeyparul/three-ways-in-which-ollama-makes-trying-new-models-much-easier-now-a089d0ec18f7?sk=0bd54aefc221b0b55dd3072e2b20ce98): Article about model exploration with Ollama.

## Topics

- AI education
- Developer relations
- Data science
- Machine learning
- Large language models
- Responsible AI
- Python
- Technical writing
- Kaggle notebooks
- AI workshops and courses

## Profiles

- [LinkedIn](https://linkedin.com/in/parulpandeyindia)
- [Medium](https://medium.com/@pandeyparul)
- [GitHub](https://github.com/parulnith)
- [Kaggle](https://www.kaggle.com/parulpandey)
- [X](https://x.com/pandeyparul)

## Machine-Readable Discovery

- [Sitemap](https://parulpandey.com/sitemap.xml): Complete indexable URL list.
- [Robots](https://parulpandey.com/robots.txt): Crawler access guidance.