Client Segmentation and Propensity Models: 
- Created user persona out of Sharekhan's client pool based upon their trading, investment and engagement behavior along with propensity models pertaining to each product
- This improved customer target algorithm, reducing the customers to be targeted to 40% of original base and increased cross-sales conversion rate from 6% to 21% while conserving 99% of the revenue made

News Relevance Score: Notifies customer when a news relevant to his/her portfolio gets live

Stocks Amazoning: Informs similar People behavior and similar Product behavior using  content based and collaborative filtering methods