1. PRAVARTHIKAA.D.S
Address : 46/8, Puliyadi Ramasamy Street,
South Gate, Madurai.
Email : pravarthipravi@gmail.com
Mobile : +91-7708509062/ +91-9444047914
OBJECTIVE
To enhance my working capability, professional skills, business efficiency and to serve
my organization in best possible way with sheer determination and commitment.
ACADEMIC CREDENTIALS
• Pursuing Bachelor of Engineering in Computer Science and Engineering at K.L.N.
College Of Engineering, Pottapalayam affiliated by Anna University, Chennai with
7.14(CGPA).
• Completed 12th (HSC) in Velammal Matriculation Higher Secondary School, Viraganoor
with 81.92(percentage).
• Completed 10th (SSLC) in Velammal Matriculation Higher Secondary School,
Viraganoor with 80.4(percentage).
AREA OF INTEREST
• Operating System
• Object Oriented Programming System
SKILLS
Programming Skills : Asp.Net,Core Java,C
Web Skills : HTML, CSS, JavaScript
INTERNSHIP
Company name : Scitus-Codeur
Team Size : 2
Project Title : Aadhar Card
Environment : HTML, ASP.NET

2. Project Description : This project deals with managing the Aadhar card details of the
people present in some particular region and involves in search, update or deletion of the details
for further use.
ACADEMIC PROJECT
Project Domain : Data Mining
Team Members : 2
Operating Systems : Windows 7
Framework Used : Net Beans IDE 7.2
Language Used : Java (jdk 1.7.0)
Project Description : The aim of this project is to detect and analyse outliers using
Classification and Association approach. Outlier is an object that deviates from the normal object
and may indicate abnormal behaviour. Association rule mining is a technique used in finding
interesting patterns from a collection of items. Associative Classification is a method that
integrates both association and classification. It is used in the generation of Rules (CAR) using
class label.The rare itemsets are identified using Apriori-Rare Algorithm based on the minimum
support value. The correlations and infrequent patterns are extracted and generation of irrelevant
attributes (patterns) is avoided. Preprocessing can be done by using discretization method.
Efficiency of the infrequent data items can be determined using Lift measure. Pruning of rules
can be done using Confidence measure. The unique point in this project is that the importance of
infrequent itemsets which is always ignored in data mining is analysed. It also provides
valueable information for better decisions.
CERTIFICATIONS
• Completed Data Lakes for Big Data, an online course of study offered by EMC2
Education Services on June 2015.
• Completed Cloud Computing at K.L.N. College of Engineering offered by EMC2 on
August 2015.
• Completed Infosys Campus Connect at K.L.N. College Of Engineering,
Pottapalayam on 2015.
• Completed a course on Core Java at S.R. Software centre, Madurai.
• Completed a course on Asp.net at S.R. Software centre, Madurai.
• Completed a course on C language at S.R. Software centre, Madurai.

3. CO-CURRICULAR ACTIVITIES
• Attended a workshop titled “app dhoom” Mobile App Competition held on 20 Feb
2015 at K.L.N. College of Engineering organized by Target Soft Systems.
• Attended a workshop on “Hardware training programme” held on 27 July 2014 at
S.R. Software centre, Madurai.
• Attended a workshop organized by Linchpin “U-LEAD”-National Student
Convention on the topic “Knowledge Building& Innovation” held on 12 July 2014
at Thiagarajar College of Engineering.
PERSONAL DETAILS
Date of Birth : 20-09-1994
Blood group : A1-
Marital status : Single
Gender : Female
Father’s Name : S.R. Dhyanesh Babu
Mother Tongue : Sourashtra
Languages Known : English, Tamil and Sourashtra
I, Pravarthikaa D S, hereby confirm that the information given above is true to the best
of my knowledge and belief.
Date :
Place : Madurai Pravarthikaa D S