This project evaluates revenue outcomes from three promotional campaigns to identify the most effective approach for launching a new product.

AB testing fror made up fashion E-Commerce company ChicBeads [Python, Tableau]

Frequentist A/B-test RPU Calculator in PyShiny

Udacity Project 2 - AB Testing Analysis. Utilize practical statistics, regression, and other data analysis tools to help the company determine if they should implement a new webpage.

An A/B test run by an e-commerce website. my goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

The data to be used is a part of the 2018 BRFSS Survey Data prepared by CDC. Data cleaning and EDA was performed before modeling. 6 algorithms was applied to build the classification models. Performance were evaluated across metrics of accuracy, precision, recall, F1, and AUC-ROC scores.

This is a repository with various analytic projects.

Key product analytics for an online casino. [SQL, EDA, A/B testing]

This is one of the projects that I worked on during my participation in the Generasi GIGIH 2.0 program by Yayasan Anak Bangsa Bisa and GoTo Group.

Bayesian A/B-test Calculator in PyShiny

Analyzing A/B Test Results of E-Commerce Website

A simple web app that helps identify statistical interactions between A/B tests.

AB Testing analysis from Udacity, including determining the experiment size and analyzing the results.

Replication of a RCT (A/B Test) originally done by Dr. Andrew Friedson.

A/B testing Project for Cookie Cats Mobile Game

Проекты по программе "Аналитик Данных" от Яндекс.Практикум

Some of my solutions to projects on Codecademy.

Projects completed for Data Analyst Course by Yandex.Practicum. Main working tools: Python and Pandas.

The JS/TS SDK for Captchify's Simple AB

This is a Python reproduction of the original case study performed in R language- 'A/B Testing with Machine Learning - A Step-by-Step Tutorial written by Matt Dancho of Business Science'