Education:
BE in Electronics and Communication Engineering from BIT, Bangalore - affiliated to VTU, Karnataka.
Percentage - 79%. I will be applying to Data Science/ Computer Science department.
10th- 96.8%( with 100 in Maths and 94 in Science)....If it matters
12th – 91.3%( with 99/100 in Mathematics and 97% in Physics, Chemistry and Mathematics)
Work experience – 4 yrs 3 months (as of August 2016)
Software Engineer at OnMobile Global Limited. - 2 years
Memeber Technical Staff 2 at NetApp India Pvt. Ltd - 1 year
Software Development Engineer 2 at ANI Technologies Pvt Ltd(OLACABS) - 1+year. Currently working here.
Projects:
*OZONE (O3) - Interactive voice recognition platform which hosts all OnMobile voice applications such as Contest, Ring tones delivery and Caller tunes (Ring Back Tones)etc. Implementation of SIP, SIP-Isup, SS7 and BICC protocols. Implementation and Support for G711, AMR, AMR-WB, G729 codecs in platform.
*Automation Framework - Developed a new automation framework for automation of Inbound and Outbound calls over communication protocols - SIP, SS7, SIP-Isup and BICC protocol.
*WAFL File System - The Write Anywhere File Layout (WAFL) is a file layout that supports large, high-performance RAID arrays, quick restarts without lengthy consistency checks in the event of a crash or power failure, and growing the file systems size quickly. Implementation of WAFL offline and online file system inconsistency checker. Developed a tool which injects corruption to WAFL file system.
*Line Following robot:
A robot which follows the white line on a black cardboard.
*Sumo Robot:
Robot is placed within a boundary. Robot should move at 50% speed when there is no Bump activated. Robot should turn around (or any other activity) when it detects Black Line. Robot should go at full speed when bump is activated i.e., when it comes across Opponent robot. Only opponent Robot should be thrown out.
*Optical Recognition Robot:
Auto navigation system which can serve as an unmanned vehicle, extracting visual or text information from the signboards placed on the sideways using OCR technology for its navigation. Implementation of Kohenen neural networks for training and recognizing the signboards within the system.
*Booking Topology:
Developed a Apache Storm topology for processing booking events in real time and persisting enriched booking events in Elasticsearch.
*Fabric:
Fabric is a Stream Processing framework. Stream processing is a computing abstraction that enables and eases in the development of processing large volumes of data as it is generated in real time. This data could be anything from user activity updates (webpage views, impression / click streams from display ads), exchange feeds, or even database logs.
*Config Service:
Development of a complex configuration management system that will become the primary config service at OLA. Software to manage the configuration of a large number of teams/projects/services using a central configuration model. Supported all types of configuration styles like xml, yaml, json, etc.
*Growth Dashboard:
A tool to perform various OSINT techniques, aggregate all the raw data(like sessions, bookings, cancellations, etc), visualise it on a dashboard, and facilitate alerting and monitoring on the data.
*EntityStore:
The entity store is a global store of entity related data that is enriched by systems across any organization and is used to group and share data across multiple systems. The data model is hierarchical. Entity is a top level object representing an entity in any system(For example an User, distributor, driver, etc). Data about every entity is logically broken up into namespaces depending on the context of the information contained therein like global, marketing, etc.
Awards:
Awarded "Pat on the back" award twice for excellence in the work at Onmobile.
Awarded “Biggest Bang for the Buck Award” in recognition of In-House implementation of NBuP Protocol at Onmobile.
Ranked 3rd in "State Board Exam" at school level consisting of 600 students.
Publications:
Published an article for ESCA (Electronics and Communication Students Association) 2012 magazine about "Autonomous navigation of Robot by reading signboards based on optical character recognition".
Activities:
*Active member of "Prerana Infosys foundation" and immensely involved in the activities conducted by them. Volunteered during selection process of needy meritorious students.
*Active Volunteer for "CRY(Child Rights and You)" organization.Taken part in medical camps, organized fun events for children in
government schools and Anganawadis.
*Active member of BIT Alumni club
Initial list of universities –
Arizona State University(Data Science/CS)
North Carolina State University(Data Science/CS)
SUNY Buffalo(CS)
SUNY Stoony Brook(CS)
University of Florida(Data Science/CS)
University of Massachusetts(CS)
University of Colorado(CS)
Cornell University(Data Science/CS)
University of Texas, Austin(Data Science/CS)
University of Texas, Dallas(Data Science/CS)
Carnegie Mellon University(Data Science)
University of California-Berkeley(Data Science)
Northeastern University(CS)
University of California, San Diego(Data Science)
Syracuse University(CS)
Please evaluate above universities based on my profile.Also suggest if I have a better chance of DS/CS in above universities.
Thanks
BE in Electronics and Communication Engineering from BIT, Bangalore - affiliated to VTU, Karnataka.
Percentage - 79%. I will be applying to Data Science/ Computer Science department.
10th- 96.8%( with 100 in Maths and 94 in Science)....If it matters
12th – 91.3%( with 99/100 in Mathematics and 97% in Physics, Chemistry and Mathematics)
Work experience – 4 yrs 3 months (as of August 2016)
Software Engineer at OnMobile Global Limited. - 2 years
Memeber Technical Staff 2 at NetApp India Pvt. Ltd - 1 year
Software Development Engineer 2 at ANI Technologies Pvt Ltd(OLACABS) - 1+year. Currently working here.
Projects:
*OZONE (O3) - Interactive voice recognition platform which hosts all OnMobile voice applications such as Contest, Ring tones delivery and Caller tunes (Ring Back Tones)etc. Implementation of SIP, SIP-Isup, SS7 and BICC protocols. Implementation and Support for G711, AMR, AMR-WB, G729 codecs in platform.
*Automation Framework - Developed a new automation framework for automation of Inbound and Outbound calls over communication protocols - SIP, SS7, SIP-Isup and BICC protocol.
*WAFL File System - The Write Anywhere File Layout (WAFL) is a file layout that supports large, high-performance RAID arrays, quick restarts without lengthy consistency checks in the event of a crash or power failure, and growing the file systems size quickly. Implementation of WAFL offline and online file system inconsistency checker. Developed a tool which injects corruption to WAFL file system.
*Line Following robot:
A robot which follows the white line on a black cardboard.
*Sumo Robot:
Robot is placed within a boundary. Robot should move at 50% speed when there is no Bump activated. Robot should turn around (or any other activity) when it detects Black Line. Robot should go at full speed when bump is activated i.e., when it comes across Opponent robot. Only opponent Robot should be thrown out.
*Optical Recognition Robot:
Auto navigation system which can serve as an unmanned vehicle, extracting visual or text information from the signboards placed on the sideways using OCR technology for its navigation. Implementation of Kohenen neural networks for training and recognizing the signboards within the system.
*Booking Topology:
Developed a Apache Storm topology for processing booking events in real time and persisting enriched booking events in Elasticsearch.
*Fabric:
Fabric is a Stream Processing framework. Stream processing is a computing abstraction that enables and eases in the development of processing large volumes of data as it is generated in real time. This data could be anything from user activity updates (webpage views, impression / click streams from display ads), exchange feeds, or even database logs.
*Config Service:
Development of a complex configuration management system that will become the primary config service at OLA. Software to manage the configuration of a large number of teams/projects/services using a central configuration model. Supported all types of configuration styles like xml, yaml, json, etc.
*Growth Dashboard:
A tool to perform various OSINT techniques, aggregate all the raw data(like sessions, bookings, cancellations, etc), visualise it on a dashboard, and facilitate alerting and monitoring on the data.
*EntityStore:
The entity store is a global store of entity related data that is enriched by systems across any organization and is used to group and share data across multiple systems. The data model is hierarchical. Entity is a top level object representing an entity in any system(For example an User, distributor, driver, etc). Data about every entity is logically broken up into namespaces depending on the context of the information contained therein like global, marketing, etc.
Awards:
Awarded "Pat on the back" award twice for excellence in the work at Onmobile.
Awarded “Biggest Bang for the Buck Award” in recognition of In-House implementation of NBuP Protocol at Onmobile.
Ranked 3rd in "State Board Exam" at school level consisting of 600 students.
Publications:
Published an article for ESCA (Electronics and Communication Students Association) 2012 magazine about "Autonomous navigation of Robot by reading signboards based on optical character recognition".
Activities:
*Active member of "Prerana Infosys foundation" and immensely involved in the activities conducted by them. Volunteered during selection process of needy meritorious students.
*Active Volunteer for "CRY(Child Rights and You)" organization.Taken part in medical camps, organized fun events for children in
government schools and Anganawadis.
*Active member of BIT Alumni club
Initial list of universities –
Arizona State University(Data Science/CS)
North Carolina State University(Data Science/CS)
SUNY Buffalo(CS)
SUNY Stoony Brook(CS)
University of Florida(Data Science/CS)
University of Massachusetts(CS)
University of Colorado(CS)
Cornell University(Data Science/CS)
University of Texas, Austin(Data Science/CS)
University of Texas, Dallas(Data Science/CS)
Carnegie Mellon University(Data Science)
University of California-Berkeley(Data Science)
Northeastern University(CS)
University of California, San Diego(Data Science)
Syracuse University(CS)
Please evaluate above universities based on my profile.Also suggest if I have a better chance of DS/CS in above universities.
Thanks