Predicting Indian Movie Ratings on IMDB

Application Area: 

Project Details

Term: 

2011

Students: 

Anand Agarwal, Ayesha Rahman, Motoki Saito, Rangasayee Chandrashekhar, Srikanth S V

University: 

ISB

Presentation: 

Report: 

The Indian movie industry produces the maximum number of movies per year at 1000/year, higher than any other country’s movie industry. However, very few movies taste success and are ranked high.

Predicting Appropriate Service Provider based on Mobile Purchase Patterns

Application Area: 

Project Details

Term: 

2011

Students: 

Abhinav Nagasubramanian, Chaitanya Indukuri, Mansi Sharma, Mohini Jain, Neha Vairagade

University: 

ISB

Presentation: 

Report: 

This project involves data mining on mobile users’ survey data generated as part of the Marketing Research course at ISB. The goal is to predict the mobile carrier preference of a customer based on mobile survey data. The purpose of this prediction is to enable the Retail store to use a predictive model to offer a mobile carrier service to the Customer along with his phone purchase.

Predicting Changes in Quarterly Corporate Earnings Using Economic Indicators

Application Area: 

Project Details

Term: 

2011

Students: 

Prashant Kumar Bothra, Piyush Mathur, Chandrakanth Vasudev, Harmanjit Singh

University: 

ISB

Presentation: 

Report: 

The purpose of this project is to check the validity and potentially strengthen an existing theory of business forecasting developed by Joseph H. Ellis (former research analyst at Goldman Sachs).

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