Data Science

Below you'll find a number of A/B testing projects on business scenarios, a common method used to evaluate the impact of changes to a product or service.

A/B Test: Mobile Game Retention

This AB test is based on a fictional mobile game. The game is a puzzle game where players must connect matching cookies to clear the board. The goal of this AB test is to determine the impact of moving the first gate in the game from level 30 to level 40 on player retention.

A/B Test: Free Trial Effectiveness

This AB test is based on an online learning platform called Udacity. The platform offers courses in a variety of subjects, and students can choose to enroll in a free trial before deciding whether to pay for the course. The goal of this AB test is to determine the impact of the free trial on student engagement and course completion.

Data Analytics

Below are a selection of data analytics projects covering a range of topics, including climate change, food delivery, and bookshop analytics. Each project includes a detailed report that outlines the data analysis process, the insights gained from the data, and recommendations for future actions.

Foodhub Data Analysis

This analysis is based on a dataset from a food delivery company called Foodhub. The dataset contains information about the company's customers, orders, and client restaurants. The goal of this analysis is to identify trends and patterns in the data that can help the company improve its operations and increase its revenue.

Climate Change Analysis

This project is an analysis of climate change data from the National Oceanic and Atmospheric Administration (NOAA). The data is from 1880 to 2016 and includes global temperature data, as well as data on the concentration of greenhouse gases in the atmosphere.

New York City Eviction Trends

This project is an analysis of eviction trends in New York City. The data is from 2017 to 2021 and includes information on the number of evictions, the reasons for eviction, and the demographics of those being evicted. The goal of this analysis is to identify trends and patterns in the data that can help policymakers address the issue of evictions in the city.