This project involves a comprehensive analysis of employee data through a series of SQL queries executed on an employee database. The primary objective is to demonstrate proficiency in SQL by performing various data retrieval operations to extract meaningful insights from the dataset.
Key SQL queries executed in this project, such as filtering female employees with IDs greater than 10200 and analyzing name-based selections for "Denis" or "Giri", aim to show various demographic and employment trends within the organization. These queries facilitate insights into gender distribution, historical hiring patterns, and employee classification based on specific criteria.
By focusing on aspects like salary distribution, unique job titles, and birthdate ranges, the analysis seeks to enhance understanding of the workforce's composition, identify potential areas for diversity improvements, and support strategic decision-making in human resources. Overall, the project leverages SQL to extract meaningful information from employee databases, driving data-informed insights for organizational development.