An API built on Plumber (R) utilizing Markovify, a Python package, wrapped in markovifyR (R). It builds a Markov Chain-model based on text (user input) and generates new text based on the model.

Machine learning simulation for security prices.

In this research paper, we used Google and Facebook conversion lift studies to calibrate our Multi-Touch Attribution results from Google Ads Data Hub (ADH). We assessed the feasibility of these conversion lift calibrations and the impact of using conversion lift results in the calibration adjustment.

Java webapp that uses Markov Chain model source code to generate a mock "spam email" based on user-selected options and training material. This project is hosted on Heroku servers and deployed from this repository.

Evaluation of Statistical Linear Models for Genome Virus Classification

Thesis projects