The Bayesian Bandit -

Agentic Marketing: Designing Control Models using Causal Inference

causal inference

reinforcement learning

In this paper, I demonstrate a prototype for utilizing reinforcement learning in out-of-app (OOA) messaging optimization to…

An implementation of the ITCC algorithm in Python

Clustering is a useful tool in data mining whereby data points are collected together based on some predefined similarity metric. This results in a more digestible data…

An analysis of Uber fares

Uber is the current leader in the rideshare market. With millions of people using the platform everyday, the company must prioritize resources to understanding their…

Forecasting Enrollment Size by Class at TAMU

Forecasting enrollment for individual classes is important for departments and colleges at universities. It allows them to properly prepare adequate resources for students…

An Analysis of TA-MU Hotel Booking Data

TA-MU Hotels is a small, privately owned hotel business. Currently, TA-MU Hotels owns two hotels: One in the heart of Manhattan, NYC and another in Cancun, Mexico. TA-MU…

Welcome to my blog!

This blog focuses on the use of statistics, particularly bayesian statistics, in the application of business problems. In this post…