A selection of projects that I'm proud of. Each one represents a challenge I was excited to tackle.
My capstone project for the 5-day AI Agents Intensive course with Google. A multi-agent AI assistant, built with Google ADK, that interacts with your Obsidian vault.
A useful extension for gemini-cli to help with git operations. Includes commands to draft commit messages, amend commits, and draft pull requests.
A Q&A system built with RAG and the Gemini API, submitted as part of a Kaggle competition.
A beginner's machine learning competition on Kaggle. I used Random Forests with scikit-learn to predict passenger survival, experimenting with different parameters to achieve a highest score.
A Datacamp's data analysis competition using R and Tableau where my submission finished in the 4th place over more than 2000 participants.
A case study on Open Food Facts, where I performed data cleaning and exploration using R in a Kaggle notebook, featuring an interactive Tableau dashboard for visualizing key insights.
