DIVYA.S
Contact
E mail
ADDRESS
************@*****.***
D/O,R.Selvaraj,
Manachchanallur(TK),
Koothur-621216,
Trichy(dt).
OBJECTIVE
To obtain challenging and responsible position in an organization wherein I contribute to the successful growth of an organization using my abilities and knowledge. "There is always a better way of doing things" is the common belief.
ACADEMIC QUALIFICATION
Master of Computer Application (MCA) (2014-2016) with 8.01CGPA Anna University, Chennai.
Bachelor of Computer Application (BCA) (2011-2014) with 75% First class Bharathidhasan University, Trichy.
The Girls Higher secondary School Hsc with 78.88% Stateboard First class.
The Girls Higher secondary School Ssc with 75% Stateboard First class.
TECHNICAL SKILLS
Operating Systems : Windows flavors
Languages : C,C++,Core Java
RDBMS : SQL Server
Microsoft tools : MS-Word, MS-Excel, MS-PowerPoint.
Web Technology : HTML
AREA OF INTEREST
Software developing
Testing
ACHIEVEMENTS
At school days, participated in several dance program and other competition won some price
Presented a technical seminar about “A Cognitive Approach for Estimating Using Feature Matching Technique”.
STRENGTH
Leadership quality
Hard-working
Self-confidence
Sincere, Competitive and Responsible.
Fierce determination and perseverance in achieving set targets.
EXTRA
CURRICULAR
ACTIVITES
Finished English Typewriting with First class.
Diploma in Business Accounting Application (Tally ERP9) With Second Class.
ACADEMEIC
PROJECT
Project Title : Novel Traffic Reduction Model for Big Data Using Mapreduce Framework
Platform : Cloud Computing
Front End : Dotnet framework 4.0
Back End : C#.net
Database : sql server 2005
Description :
Cloud is an important functionality in cloud computing which allows a huge amount of data to be processed over very large clusters which is called as Big Data. MapReduce is a popular solution to handle big data in the cloud environment due to its excellent scalability and handle fault in a phased manner. But when this compared to its competitor commonly called as grid computing or parallel databases, the performance of MapReduce is slower. Performing complex data analysis tasks require the joining of multiple data sets in order to do computation on certain aggregates. The proposed solution is a secure system that extends and improves MapReduce runtime framework to efficiently process complex data analysis tasks on large cloud clusters, which is a filtering-join-aggregation programming model with enhanced security. A new data processing strategy is deployed which performs filtering-join-aggregation tasks in two successive MapReduce jobs.
PERSONAL INFORMATION
Father’s Name : R.Selvaraj
Date of Birth : 04-05-1994
Sex : Female
Nationality : Indian
Marital Status : Single
Language Spoken : Tamil, English
SUMMARY
I am quick learner and with the existing skill set, I do believe that i can add value to your commercial operations and even look forward to an opportunity to work with your esteemed organization.
DECLARATION
I hereby confirm that the information given above is true to the best of my knowledge and belief.
Place : S.DIVYA
Date : Signature