Data Science
Build a model to predict performance of employees, based on the visualisation and analysis of past data of employee performance
How does Teach For India tracks 1500+ employees' performance? And, why is it important?
Certified by
Role
Data Analyst
Industry
Technology
No. of Subscribers
138
Level
Intermediate
Time Commitment
Submit First Draft in 30 days
Duration
45 days
Tools you’ll learn
Here’s What You Work On
About the Company
Teach for India is a fellowship program for young professionals who want to solve the education crisis in the country. It is reported that the TFI alumni community is responsible for starting 150+ organisations in the field of social impact.
Explore
the following work techniques
Python
Machine learning models - Binary Classification Problem
Bridging the gap
Teach for India has approximately 900+ fellows who are deployed across 7 cities and are working with 28000 students. Many of these students do not have the reading and numeracy skills required at their grade level. The ability to predict employee performance will enable TFI to implement learning and development measures to empower their fellows to improve the reading levels of their students.
Apply
the following skills
Dashboard designing
Data Analysis
Data preparation
Hypothesis testing
Model formulation
Expected output
During this menternship, you will use Python to create an HR analytics tool that can help a talent management team to predict employee performance and plan for their growth.
Create
the following deliverables
Reesearch report on employee performance prediction models
An Employee performance prediction model
What you’ll need before starting
Python, Binary classification
