RESUME
S.SEETHALAKSHMI,
E-mail:acuox8@r.postjobfree.com. No: 25/1 Rajeswari Street,
Phone No: 787******* Kanniyappan Nagar,
Guduvanchery-603 202.
OBJECTIVE:
Seeking a challenging environment that encourages creativity and exposure to
new ideas and simulates personal and professional growth, opportunities to utilize
my talents in innovative areas of various sessions.
EDUCATIONAL QUALIFICATION:
STUDY
INSTITUTION/
SCHOOL
UNIVERSITY/
BOARD
YEAR
OF PASSING
% OF MARKS
M.E[CSE]
Thiruvalluvar College of Engineering
Anna University Chennai
2015
8.2(CGPA)
B.TECH
[IT]
S.K.P Engineering College
Tiruvannamalai
Anna University Chennai
2012
7.8(CGPA)
H.S.C
St.Aloysius Girls Higher Sec School
Vettavalam
Tamil Nadu State Board
2008
83%
S.S.L.C
St.Aloysius Girls Higher Sec School
Vettavalam
Tamil Nadu State Board
2006
87%
TECHNICAL SKILLS:
Knowledge in C, C++, Core Java, Advanced Java, Html.
MS Office (Word,Excel,Power Point, Ms Access).
CO-CURRICULAR ACTIVITIES:
Undergone certified course in ADJP in computer software college, Vettavalam.
Attended in Two-Day National Level Workshop on “VOIP” held on 5th march 2010.
Attended in Intenational Conference on futuristic trends in computer science and engineering held on 7th & 8th March,2015.
PROJECT DETAILS:
TITLE: A Novel Collaboration Location Based Web Service Recommender System
ABSTRACT:
In this project the integrated software component to support the machine interactions over the network is established through web services. The web services can be employed for building Service Oriented Applications (SOA) both in the education and industry fields. As the numbers of web services are available to feed the requirements of the user, the user is in misperception. This makes it hard for the user to select the appropriate web services from the large amount of service candidates. An inappropriate service selection may cause many problems (e.g., ill-suited performance) to the resulting applications. In this paper, I propose a novel collaborative filtering-based Web service recommender system to help users select services with optimal Quality-of-Service (QoS) performance. Our recommender system employs the location information and QoS values to cluster users and services, and makes personalized service recommendation for users based on the clustering results.
PERSONAL PROFILE:
Name : S.SEETHALAKSHMI.
Father’s Name : S.SANGUKRISHNAN.
Date of Birth : 17-05-1991.
Gender : Female
Nationality : Indian.
Language Known : Tamil and English.
Strength : Self Confidence, Smart Working,
Positive Thinking.
Hobbies : Listening Music, Cooking, Playing Chess
DECLARATION:
I here by declare that the above written particulars are true up to the best of my knowledge.
PLACE: Guduvanchery
Yours Faithfully,
DATE :
[SEETHALAKSHMI.S]