Business Solutions Analyst
Sybase
Total des années d'expérience :0 years, 6 Mois
The basic role included requirement elicitations, proceeding with architecture
and model design and analysis according to the requirements and then
development of iOS applications and integration with
The basic role includes the iOS application development, mainly working of
location-based applications.
Projects
Qype (Acquired by Yelp)
A location based services app for iOS platform for reviews sharing and social
updates. I worked on its three different versions: 3.2, 3.5, 4.0.
Stampr
A sales and marketing app for iOS platform based on QR code. This
application is used for sales and marketing of different franchises. Where
users collect and use different QR codes as coupons to get discounts.
Simple Diary
A very interactive iOS app based on diary concept writing the diary and also
contacting with other people, adding places and events.
Freelance work
Xenoal Gallery
A simple greeting cards application with voice recording feature for iPhone
and iPad. It has three different versions designed for different occasions like
Christmas, New Year etc.
ICanScore!
Chromium Fuzz Testing
It involved working on chromium fuzz testing. Two months internship involved
introduction to Google Chromium and fuzzing methodologies and required to
write the fuzzer to test the chromium for bugs.
A four-year degree with basic and advanced computing courses such as Databases, Data Mining, Operating System and Network programming, Computer Graphics etc. I also studied Information Systems, Business Management, Marketing and Psychology as minor courses.
- 2015 A master program in collaboration with MIT that consists of computer science courses such as Machine Learning, Business Process Management, Language Technology Processing, Advanced Databases. Exchange Student Massachusetts Institute of Technology, Cambridge Fall-2014 An Exchange student at MIT for one semester, I carried out work on my thesis at MIT Mobile Experience Lab. My thesis is about building a context aware indoor recommendation systems based on social networks. I worked on hypothesis that Facebook likes from a user can be used to recommend products in retail space; to give a cold start recommendation to the users. Then mapping these recommendations to the physical space with use of smart devices like Bluetooth beacons to build a smart recommendation space.