Project involved the enhancement of mobile based banking application. It provides the facility to see account detail, Transfer amount , Reset password, Forex card, Quick Payment etc.

Project involved the development and enhancement of mobile based ecommerce application. It provides the facility to see the Categories, Brands, latest arrivals, offers on products, product detail, product availability for pick up store etc.

Project involved the development of an application which provided the facility to add trip, join trip, and share the trip code to the others, so that other people join the trip. When user liked the trip, they could post their experience. User could comment on the trip and see the comments related to the trip. User could search the places such as hospital, pub, hotel, restaurant, etc. User could tap on the marker to show the details related to place and see rating, price, and other stuff.

Project involved the development of an application used to refund VAT. User upload invoices and the invoices were processed by admin and invoice status was shown to the user. It showed the list of easy miles gift to the user according to the easy miles points. User could login with Facebook and Twitter account credentials.

Project involved the development of application which used to connect people and surrounding. People were connected to their neighborhood news, events, shops, etc.

Involved in development of key modules such as upcoming class, user’s profile, weekly goals, and progress weekly goal

Involved in database designing and programming

Project involve to predict the users sentiment for doctors. User write many reviews for a single doctor. Predict the topics for doctors and then predict the reviews.

Project involve to predict the review sentiment using user product reviews. Amazon data set consist of product detail with user id, product id,product reviews, product rating, product summary.

Project involve to predict the loan defaulter using the given feature set of user.

Project involve to suggest the friends to the users.

Project involve Customer Transaction Predictiopn

Project involve automate the loan process using the users data. The data include user information e.g Gender, Education, income etc.