RESUME OF S.DHARSHNI
S.Dharshni
B.Sc (IT)
Objective
Intend to build a career with leading corporate of hi-tech environment with committed & dedicated people, which will help me to explore myself fully and realize my potential.
Email:
adrpy2@r.postjobfree.com
Contact Number:
Team and Interpersonal skills
excellent team player.
Innovative and Quick Learner.
Extremely receptive to new ideas and learning.
Residential Address:
327 karuparayan kovil Street,
Marudhamalai main road,
P.N Pudhurpost,Vadavalli,
Coimbatore-641041
Personal Information:
Date of Birth : 11/04/1998
Father’s Name : N. Sivaraman
Sex : Female.
Nationality : Indian.
Marital Status : Single.
Mother Tongue: Tamil.
Languages known:
English &Tamil.
Hobbies : Surfing,
Listening Music, Painting
Bachelor of Science (B.Sc IT) [2018] Aggregate: 68% PSG Collage of Arts & Science Coimbatore.
Higher Secondary Leaving Certificate (H.S.C) [2015] Aggregate: 77% MSSD Higher secondary school, Coimbatore.
Secondary Leaving Certificate (S.S.L.C) [2013] Aggregate: 67.8% MSSD Higher secondary school, Coimbatore.
Technical Expertise
MSOffice (Outlook, Access, Project)
Windows2003/Xp/2010
Photoshop
C,C++(Language)
Web Design
Java
HTML
Networks
Software Developments
Data Base Management
Objects Orient Programming Languages
Market Research
Area of Interest
Academic Chronicle
Personal Traits
RESUME OF S.DHARSHNI
2
B.Sc (IT)( Mini Project)
Title “Credit card Fraud Detection Using Hidden Markov Model”
Software Details
Operating system : windows xp
Frontend : Asp Net 2.0
Coding Language : Visual C++Net
Database : SqlServel2000
Exposure HMM is an ideal choice for addressing this problem. This approach is a drastic reduction in the number of False Positives transactions identified as malicious by an FDS although they are actually genuine.
B.Sc (IT) (Major Project)
Title “A Commodity Search System for Online Shopping Using Web Mining”
Software Details
Operating system : window sxp
Coding Language : JSPSERVELT
Database : My Sql4.1
Exposure This project is to satisfy the information needs of web users and improve the users experience in any web applications. It automatically predicts the interest of users by rating information. Main opinion used in mining are sentiment classification, feature based opinion mining and comparative opinion mining.
Worked as a Thesis Aligner at Sri Kumaran Computers (TNAU CAMPUS) From July 2018 to August 2019
Worked as a Data Analyst at IKON INFOTECH
From November 2019 to May 2022
Here by I confirm that the information given above is true to the best of my knowledge.
Place: Coimbatore Yours Faithfully
Date: (S.Dharshni)
Work Experience
Declaration
Curriculum Project