Grace Esteban

Data analysis project investigating factors that influence drivers' decisions to accept location-based mobile coupons for restaurants, bars, and coffee houses during various driving scenarios.

A comprehensive guide for developing applications using Cline, along with a recommended tech stack including Next.js, Tailwind CSS, Supabase, Vercel, and GitHub. Special thanks to Nick Baumann's blog.

A comprehensive data science project analyzing factors that drive used car prices to provide actionable insights for used car dealerships.

This project applies the CRISP-DM methodology to predict whether bank clients will subscribe to a term deposit using real-world marketing data from a Portuguese bank. It compares multiple machine learning models to improve campaign efficiency and identify key factors influencing customer decisions.

Analyzing the relationship between student support services and program completions at CCSF (2014–2025).

CCSF Board RAG Chatbot is a Retrieval-Augmented Generation (RAG) application that lets users ask natural language questions about City College of San Francisco Board of Trustees meetings.