This project aims to analyze employee data collected by the HR department at Salifort Motors to build a predictive model for employee turnover.
The primary goal is to identify key factors that contribute to employees' decisions to leave the company. By leveraging data analytics, the project will provide actionable insights to improve employee retention strategies.
In this project, we analysed a small business's historical marketing promotion data. Each row corresponded to an independent marketing promotion where the business used TV, social media, radio, and influencer promotions to increase sales. To expand this analysis to include other variables that could help them target their marketing efforts.
British Airways Review Interactive Dashboard, Number of Lighting Strikes in USA Dashboard,Impact of Holidays on Seouol Bike Rentals in 2008
An airline company is interested in knowing if a better in-flight entertainment experience leads to higher customer satisfaction. They would like to construct and evaluate a model that predicts whether a future customer would be satisfied with their services given previous customer feedback about their flight experience.
In this project, the Automatidata team is developing a multiple linear regression model to predict taxi fares for the New York City Taxi and Limousine Commission (NYC TLC). This model will use a dataset collected over the past year to generate accurate fare predictions, aimed at helping the client enhance their fare estimation processes.