Case-Studies
This repository contains case studies of companies whose multiple data analytics/science tasks have been studied and attempted using Python's multiple libraries, packages & Tableau. Click the Company link to navigate to the Python notebook.
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Waze’s free navigation app makes it easier for drivers around the world to get to where they want to go. Waze’s community of map editors, beta testers, translators, partners, and users helps make each drive better and safer. Waze partners with cities, transportation authorities, broadcasters, businesses, and first responders to help as many people as possible travel more efficiently and safely.
I’ll collaborate with your Waze teammates to analyze and interpret data, generate valuable insights, and help leadership make informed business decisions. My team is about to start a new project to help prevent user churn on the Waze app. Churn quantifies the number of users who have uninstalled the Waze app or stopped using the app. This project focuses on monthly user churn. In this role, I will analyze user data and develop a machine learning model that predicts user churn.
This project is part of a larger effort at Waze to increase growth. Typically, high retention rates indicate satisfied users who repeatedly use the Waze app over time. Developing a churn prediction model will help prevent churn, improve user retention, and grow Waze’s business. An accurate model can also help identify specific factors that contribute to churn and answer questions such as:
Who are the users most likely to churn? Why do users churn? When do users churn? For example, if Waze can identify a segment of users who are at high risk of churning, Waze can proactively engage these users with special offers to try and retain them. Otherwise, Waze may simply lose these users without knowing why. Your insights will help Waze leadership optimize the company’s retention strategy, enhance user experience, and make data-driven decisions about product development.
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The current project at TikTok is reaching its midpoint; a project proposal, Python coding work, and exploratory data analysis have all been completed.The team has reviewed the results of the exploratory data analysis and the previous executive summary the team prepared. The Data Scientist at TikTok, has assigned the next assignment: determine and conduct the necessary hypothesis tests and statistical analysis for the TikTok classification project.
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