Phitter is a python library for accurately fitting statistical distributions to datasets, offering intuitive usage, comprehensive visualization, and support for multiple distributions to enhance data analysis projects.

A Python-based repo for modeling and predicting customer behavior. This project focuses on implementing various statistical and probabilistic models to analyze customer preferences, purchase patterns, and future actions.

Nightly CI job that generates a listing of public probability models available in particle physics

A web application built with React for solving dynamic programming problems in Operations Research, featuring interactive interfaces for algorithms like Floyd's shortest paths, Knapsack, Optimal BSTs, and Sports Series probabilities. Developed as part of an academic course with a focus on modularity, usability, and visual clarity.