An end-to-end data science project using the Pima Indians Diabetes dataset. This analysis includes exploratory data analysis (EDA), data cleaning to handle missing values, and the implementation of predictive modeling techniques to classify diabetes risk factors

Hecho mediante elaboración propia a partir de datos del Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM, 2024). Calidad del aire en Colombia (Promedio Anual) [Conjunto de datos]. Portal de Datos Abiertos de Colombia. Recuperado el 11 de abril de 2026 de https://www.datos.gov.co/d/kekd-7v7h

Project for DS 736

Employee Performance Analysis

Visualization of abundance.tsv

How our daily environments can be associated with our study productivity

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Given the recent volatility in the stock market, I have decided to diversify my long‑term investment strategy by opening a self‑directed Roth IRA to purchase real estate in Punta Cana, Dominican Republic. My goal is to acquire a property that can operate as a profitable Airbnb rental while also appreciating in value over time. To make informed investment decisions, I need to understand which property features — such as the number of bedrooms — make a listing more attractive to tourists and more lucrative as a short‑term rental. This analysis uses real Punta Cana listing data to explore how bedroom count relates to nightly rental rates, forming the foundation for more advanced modeling project.