A comprehensive end-to-end data analysis of 10 million retail receipts using R. This report covers large-scale data cleaning, exploratory data analysis (EDA), and key business insights.

In-class Assignment: Business Intelligence

Supplemental Growth Curve Model for Bartholow et al. paper

A quantitative analysis of 45 S&P 500 market leaders across 9 major sectors. This project utilizes K-Means Clustering (Unsupervised Machine Learning) to identify risk/return regimes automatically. It features a Facet-Wrapped visualization to demonstrate how volatility profiles differ significantly between Defensive sectors (Utilities, Staples) and Growth sectors (Technology). Built using R, ggplot2, and quantmod.

Curso de Estadistica Inferencial para jóvenes investigadores y amantes de Estadistica, la Ciencia de datos y la Inteligencia Artificial

Stroke, Yoga and Meditation