https://github.com/gakas14/sql_scienceqtech-employee-performance-mapping
https://github.com/gakas14/sql_scienceqtech-employee-performance-mapping
mysql mysql-database sql
Last synced: 10 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/gakas14/sql_scienceqtech-employee-performance-mapping
- Owner: gakas14
- Created: 2021-12-25T10:14:41.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-12-25T10:17:43.000Z (over 4 years ago)
- Last Synced: 2024-12-31T12:34:04.272Z (over 1 year ago)
- Topics: mysql, mysql-database, sql
- Homepage:
- Size: 20.5 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# SQL_ScienceQtech-Employee-Performance-Mapping
DESCRIPTION
ScienceQtech is a startup that works in the Data Science field. ScienceQtech has worked on fraud detection, market basket, self-driving cars, supply chain, algorithmic early detection of lung cancer, customer sentiment, and drug discovery field. With the annual appraisal cycle around the corner, the HR department has asked you (Junior Database Administrator) to generate reports on employee details, their performance, and on the project that the employees have undertaken, to analyze the employee database and extract specific data based on different requirements.
Objective:
To facilitate a better understanding, managers have provided ratings for each employee which will help the HR department to finalize the employee performance mapping. As a DBA, you should find the maximum salary of the employees and ensure that all jobs are meeting the organization's profile standard. You also need to should also determine whether or not employees need a promotion, and calculate bonuses to find extra cost for expenses. This will raise the overall performance of the organization by ensuring that all required employees receive training.
Dataset description:
emp_record_table: It contains the information of all the employees.
EMP_ID – ID of the employee
FIRST_NAME – First name of the employee
LAST_NAME – Last name of the employee
GENDER – Gender of the employee
ROLE – Post of the employee
DEPT – Field of the employee
EXP – Years of experience the employee has
COUNTRY – Country in which the employee is presently living
CONTINENT – Continent in which the country is
SALARY – Salary of the employee
EMP_RATING – Performance rating of the employee
MANAGER_ID – The manager under which the employee is assigned
PROJECT_ID – The project on which the employee is working or has worked on
Proj_table: It contains information about the projects.
PROJ_ID – ID for the project
PROJ_Name – Name of the project
DOMAIN – Field of the project
START_DATE – Day the project began
CLOSURE_DATE – Day the project was or will be completed
DEV_QTR – Quarter in which the project was scheduled
STATUS – Status of the project currently
Data_science_team: It contains information about all the employees in the Data Science team.
EMP_ID – ID of the employee
FIRST_NAME – First name of the employee
LAST_NAME – Last name of the employee
GENDER – Gender of the employee
ROLE – Post of the employee
DEPT – Field of the employee
EXP – Years of experience the employee has
COUNTRY – Country in which the employee is presently living
CONTINENT – Continent in which the country is