This project implements in Python some common statistical analysis methods used in data analysis, including Entropy, Mutual Information, Kolmogorov–Smirnov test, Kullback-Leibler divergence (KLD), AB tests (Mann-Whitney U and t-tests)

A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces | 2025 IEEE Conference on Artificial Intelligence (CAI)

Analyzing Fater company's diaper market potential and enhancing revenue estimation for Naples stores: A Socio-Demographic, Territorial, and Points of Interest Perspective

Perform ab testing on grocery website to check user interactions on the UI changes of the website

Nonparametric test and R code

> Statistical analysis of aromatase inhibitors using Python, RDKit, and ChEMBL. Includes Mann–Whitney U Tests on LogP, Molecular Weight, H-bond properties, and pIC50 with visualizations.

A collection of [very simple] projects focused on hypothesis testing.

To evaluate different implementations of an in-app currency feature with ABC Analysis

Data for publication on how juvenile house crickets adjust adult calling songs and aggressive behaviors based on developmental exposure to population density, potentially adopting alternative mating tactics to maximize success in varying social environments.

This R script provides a fully automated framework for conducting independent-samples hypothesis tests to compare two groups on a continuous numeric outcome. It is designed for flexible reuse across datasets and projects in data science, human performance, and research.