Biodata |
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| Name of the Candidate | : | [Private] |
| Name of the Post Applied | : | Java Developer |
| Job related skills / software | : | Java, JEE/JSE, HTML, Oracle/MY SQL, Credit Card Fraud Detection |
| Category | : | IT / Computer2 |
| Sub Category | : | Java / J2EE Developer |
| Years of Experience | : | 0 years |
| State | : | Andhra Pradesh |
| Gender | : | Male |
| Salary Expected per Month(Rs) | : | Negotiable |
| Highest Qualification attained | : | B.Tech. : Bachelor of Technology |
| Major / Specialization | : | Computer Science |
| Email Id | : | [Private] |
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| Are you looking for job now? | : | Yes |
| Can the recruiter contact you? | : | Yes |
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Resume Format / CV Sample Template / Example / Model : |
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CURRICULUM VITAE
Ramesh Potureddipalli
E-MAIL : rameshmail596 AT gmail.com,
MOBILE NO : +91 9966482741.
Career Objective :
To become good software professional and to work in a challenging and creative environment and effectively contribute for growth of Organization.
Academic Profile :
Course Name of the institution Board / University Year of pass Percentage
B.Tech Mother Teresa Institute of Science and Technology JNTUH, Hyderabad. 2012 60%
Intermediate Vikas Jr College Board of intermediate Education, Hyderabad. 2008 75%
S.S.C Santhi Vidya Niketan Board of secondary Education, Hyderabad. 2006 82%
Technical skills :
Languages : JEE/JSE
Operating Systems : Windows XP/7/8.
Web Technologies : HTML.
Database packages : Oracle/MY SQL.
Extra Curricular Activities :
Participated in TECHNICAL QUIZ at SCIENTIA 2K11, a state level techno-cultural fest in AURORA’s Technological and research institute.
Participated in college cricket championship in Mother Teresa Institute of Science and Tech.
Personal Strengths :
Capability to adapt tonew tools and technologies
Positive thinking
Ability to take up responsibilities
Self motivation
Willingness to learn new things and a smart worker
#Project :
Credit Card Fraud Detection :
A novel approach for credit card fraud detection, which combines evidences from current as well as past behavior.
The fraud detection system (FDS) consists of four components, namely, rule-based filter, Dempster-Shafer adder, transaction history database and Bayesian learner.Extensive simulation with stochastic models shows that fusion of different evidences has a very high positive impact on the performance of a credit card fraud detection system as compared to other methods.
Personal Profile :
Name : Ramesh Potureddipalli
Father's name : Nageswara Rao
Gender : Male
Date of Birth : 15th JUNE, 1991
Nationality : Indian
Languages known : Telugu & English
Hobbies : Reading Books & Playing Cricket
Residential Address :
H.No : 7-1-307/17/10/D,
Subash Nagar,
Sanath Nagar,
Hyderabad-500018.
Declaration :
I hereby declare that the above information is true to the best of my knowledge and no misinterpretation is done.
Date :
Place : Hyderabad
(Ramesh P)
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