Mapa Material Particulado PM2.5 2018 -2023 Red Metropolitana de Monitoreo Atmosférico de Quito Secretaria de Ambiente de Distrito Metropolitano de Quito

This project was completed as part of the MUSA Public Policy Analytics course at UPENN, where students analyze real-world issues using data science tools. My partner, Nohman Akharti, and I collaborated to deliver comprehensive insights into the challenges and opportunities presented by Amsterdam’s tourist boom. By leveraging a variety of data sources, including Airbnb activity, housing market trends, and regulatory impacts, we developed models to predict the effects of different policy measures on local housing and tourism dynamics.

A través de un código simple, entendible y reproducible, se analiza una base de datos de clientes de un super mercado, con dicha información se encuentra el grupo de clientes que comparten características para poder tomar decisiones. Se recupera la base y parte de código de Kaggle.