Forecasting Monthly Tourism to Sikkim, India

Application Area: 

Project Details

Term: 

2012 (Feb)

Students: 

Palash Borah, Saurabh Agarwal, Varun Sayal, Dipayan Dey, Abhishek Kumar

University: 

ISB

Presentation: 

Report: 

The objective of this project is to enable Sikkim Government (and other stakeholders) to generate forecasts for the next 12 months for state of Sikkim, month after month.

Predicting First Day Returns for Japanese IPOs

Application Area: 

Project Details

Term: 

2011

Students: 

Vivek Kumar, Gaurav Jain, Mahadar Rohan Anil, Tejas Vikram Pahlajani

University: 

ISB

Presentation: 

Report: 

The goal of this project is to predict the First Day returns on Japanese IPOs (based on first day closing price), using public information available prior to the offer. Such a predictive model could be used to predict whether a new IPO coming on the market will make first day gains or not, and use the result to decide whether to invest in the IPO.

Predicting Rural Migration in India using Socio-Demographic Information

Application Area: 

Project Details

Term: 

2011

Students: 

Akshad Viswanathan, Anjali Kumari, Imran Ali Richa Gupta, Varun Sayal

University: 

ISB

Presentation: 

Report: 

India as a nation has seen a high migration rate in recent years. Over 98 million people migrated from one place to another in 1990s, the highest for any decade since independence according to the 2001 census details. However in 1970s migration was slowing down. The number of migrants during 1991-2001 increased by about 22% over the previous decade an increase since 1951. Apart from women migrating due to marriage, employment is the biggest reason for migration. The number of job seekers among all migrants has increased by 45% over the previous decade.

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