Revenue optimization project for an online store. Applied ICE/RICE frameworks for hypothesis prioritization and conducted a rigorous A/B test analysis. Managed statistical significance, data filtering (outliers), and conversion rate modeling to drive data-led business decisions.

Nextflow workflow to run NCHG

Code and data for the paper "Critical Values Robust to P-hacking"

This repository contains a detailed case study on an A/B test of LunarTech's homepage CTA button, using proxy data structured similarly to the company's real data.

Analyse efficacy of your own confidence interval (CI) methods

Analyzes the results of A/B tests to determine if there is a statistically significant difference between control and treatment groups. It provides a structured approach for performing A/B tests, interpreting results, and making data-informed decisions. A valuable resource for marketers and product managers aiming to optimize user experience.

A web application to design and evaluate the results of A/B tests.

Enabling easy statistical significance testing for deep neural networks.

This R script analyses COVID-19 data focusing on death rates, age, and gender effects on mortality. It computes descriptive statistics, cleans data, calculates death rates, performs hypothesis testing, and evaluates claims regarding age and gender effects on death.

This is a repository with various analytic projects.

Evaluate Hypothesis that fitness test intimidates some prospective members of the Gym.

This repository contains analysis of churn in telephone service company (using IV and WOE), comparison of effect size and information value and quick tutorial how to use information value module (created for this analysis).

A model of the reliability of scientific findings as affected by the convention threshold for statistical significance and by various methods of reporting findings.

Minimal A/B Testing Library in PHP

A nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network

MRHCA: a nonparametric statistics based method for hub and co-expression module identification in large gene co-expression network

Used statistical measures to determine if the rate of re admissions for hospitals are high, if yes, what steps can be taken to bring the rate down.

Summary of Udacity's course on AB Testing