Cigna has been acquired by Newyork life Insurance. Working on the Disability Insurance portal migration project from Cigna to the Newyork life.

Description:Whirlpool Maytag Commercial Laundry Systems has Commercial Laundromats for customers who owns the Laundromats. Our Application is to manage the machines in Laundromats like sending commands to update the cycle prices on machines and to handle the data, Reports, Notifications which machine publishes back after running the cycles. We use IoT platform which has UI portal, WCloud backend services hosted on IBM Bluemix and then migrated to AWS which interacts with the machines using MQTT and handle the machine response by using Kafka event streams in WCloud services and Rest API to communicate and display the data on the UI portal.

Repairs Application. Customers goes to the Apple Store Genius Bar when there is any issue with the Apple devices for the repairs. Based on the repair of the device, User will get the device information and create a repair. In this application, we have UI(Thick Client) in the IPAD and MAC, These two interacts with the Backend API. We are working on Backend API for new Enhancements and Bug fixes.

Duty Director Report. Our application is developed to get the latest updated flights information for Mainline, DeltaConnection flights. And also get the updated AircraftOutOfService, Gateholouts, Customer bookings, Weather information from the SOA response running as a Cron Scheduled job and stored that data in DB, that stored information will display in the UI. User can update the information from the UI based on the need and send that as a report in an email using SMTP server. There are 3 reports per day (Morning, Noon, Evening) reports. Based on the time of the report, user gets the updated flights information at that particular time from the Cron Scheduled job. Once they send the report in the email, that report will store in the DB and fetches back to UI whenever user wants.

Spec Conversion process. Nielsen does the surveying. Our team comes under television surveying. We need to know how many people are watching television and collect their data through the TV meters. To do the survey, Our representatives visit the houses and recruit them, they install the TV meters in the homes. We will get the Household TV Channels data using meters and also the Household Person’s data collected by our representatives. In order to recruit the household, they should select the Spec(the whole area in a city). Inside the Spec, they need to go to the individual household for recruiting.