SUNAINA SHARMA

Sunaina4515@gmail.com
Publications
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M.Tech

Master Of Engineering (M.E) in Information Technology from University Of Engineering and Technology (U.I.E.T), Punjab University, Chandigarh (2013-2015) CGPA-8.4

B.Tech

Bachelor Of Technology (B. Tech) in Computer Science Engineering from Shaheed Udham Singh College of Engineering (SUSCE), Mohali, Punjab (2009-2013). CGPA-86.5%. Gold Medalist.

1.

      Company: Infosys Technologies Ltd., Bangalore
      Client: Morgan Stanley (TME)
      Project: WS Authorization Sentinel

Description:TThe project objective is to track “Entitlement Last Usage”. An API is build which is used to check into who is using what application and when, Goal is to provide visibility into application usage, enabling review and revoking access to reduce the overall risk to the firm. So to provide audit enabled API to enforce application functional authorization.

2.

      Company: Infosys Technologies Ltd., Bangalore
      Client: Morgan Stanley (TME)
      Project: WS Authorization PII DATA MASKING

Description:TThe project is initiative to limit the visibility of highly restrictive client personal identification information. Personally identifiable information (PII) that is not needed for downstream use or recovery should be redacted to prevent misuse. Meanwhile, other data elements or selected parts of the PII value itself may still need to be exposed. At the same time, the masking preserved the original storage format and overall field appearance so that the platform structure or application need not be altered. Masking all but the last four digits of a security number with asterisks is a common data redaction requirement

3.

      Company: Infosys Technologies Ltd., Bangalore
      Client: Toyota Motors, Europe, (TME)
      Project: Toyota Motors, Europe, (TME).

Description:The project is to regulate the status of the machines present and to perform various actions provided if any machine is not functioning properly.

4.

      Company: Infosys Technologies Ltd., Bangalore
      Client: Toyota Motors Europe
      Project:Global IT Fair (GTF), Europe.

Description: The project is to build container tracking system demo to determine the current position of a given container on the world map. To track the location of the container, just specify the Factory and device id. The results of the search will show the current container location.
This Application prime focus is to ease the shipping process for the client, to make him feel safer about his service.

5.

      Company: Infosys Technologies Ltd., Bangalore
      Client: Amazon, US
      Project: LexisNexis, US (LN).

Description: The project focused on computer-assisted legal research as well as business research and risk management services. To monitor bribery and corruption within the chain of Amazon product buying customers in US.
Responsibilities:
1)I’ve worked on LN research Tool in LexisNexis account.
2)I’ve worked to monitor bribery and corruption within the chain of Amazon product buying customers in US.
3)I have maintained professional and technical knowledge by attending educational workshops reviewing professional publications; establishing personal networks; participating in professional societies.
Application Development: Eclipse IDE, Putty, WinSCP.
Database: MySQL, PostgreSQL, DB2
Operating System: Windows, Mac OS X, Ubuntu.
Technologies: C++, Java.
Framework: AngularJS, Hibernate.
Web services Technology: RESTful web service.
Web Development: HTML, CSS, Bootstrap4, Java Script.
Application Servers: Tomcat 8.x.
Version Control: GIT.

-University Gold Medalist.
-Did Research in the field Data Mining using kernelized RVM classifier for Analyzing Big Data as major concern.
-Teaching and Research Assistant in Panjab University.
Certifications:
International conference on Next Generation Computing technologies NGCT-2015,IEEE.
International Conference on "Innovations In computer Science and Information Technology."-2015
International Conference on " Advanced Computing and Communication technologies".IEEE-2015
Publications:
-Relevance vector machine classification for big data on Ebola outbreak.
-Novel RVM Approach to Structuring and Classifying Epidemic Outbreak Data.
-Relevance matrix based structuring of epidemic outbreak data.
-Technology and Trends to Handle Big Data: Survey.
Circular Activities:
-Winner of Infosys Badminton Event ‘Splash’ in women (singles).
-Winner of Infosys Sports Event ‘Parichay’ in women (doubles) and mixed.
-Organized/Hosted Symposium on 'Current Trends on IT'.