Lilly is a global healthcare leader that unites caring with discovery to make life better for
people around the world. Lilly has remained dedicated to creating medicines that help

improve peoples' quality of life. At the heart of Lilly's operations are its core values -
excellence, integrity and respect for people. Eli lilly's campaign management tool is for
internal use to doctors. This application helps to doctor for meeting tracking, asset
management, user management feature etc.

The Contact Center project is mainly developed for agents who can book the ticket for
United Airlines customers. Contact Center has Search, Trip and PNR modules. Agent
can search flights using search module and can use advanced search features. Then
agents move to Trip Summary section which shows the trip summary and line of flights
of all trips. Agent can choose flight for all trips. Then get the details of trip summary total
price of all trips. Then agent can go to purchase option and book the ticket.

The project involves the requirement analysis, design and development of business
requirements that are indeed reports and new feature on SPECTRA application.
SPECTRA is the world leader in enabling clients to identify their most strategic
consumer targets for tactical marketing execution and retail channel development.
Spectra's innovative segmentation platforms use a combination of demographic,
consumption and media data to help you identify and profile consumers who represent
the maximum opportunity for growth, allowing you to focus you're spending on those
consumer segments who are most likely to reap higher returns. Spectra identifies the
top stores or areas with the greatest potential for growing your product sales and
focuses your trade marketing and in-store merchandising activity to ensure you never
run out of stock again.

This was related to content translation (for example English-Chinese) to the user's own
language. User would enter the URL/data for translating in to his/her own language. We
had to take user's data and as per segmentation rule had to break data and translate it
into target languages. Used GoogleMT, Babblefish machine translation API.