Biodata |
|
Name of the Candidate | : | [Private] |
Name of the Post Applied | : | Computer Science Professor |
Job related skills / software | : | Java,Php,C,C++,Octave,Latex,Case tool,Ns2 |
Category | : | Teaching Lecturer Faculty |
Sub Category | : | Professor |
Years of Experience | : | 0 years |
State | : | Kerala |
Gender | : | Female |
Salary Expected per Month(Rs) | : | 10,000 to 15,000 |
Highest Qualification attained | : | M.Tech. : Master of Technology |
Major / Specialization | : | Computer Science |
Email Id | : | [Private] |
|
Are you looking for job now? | : | Yes |
Can the recruiter contact you? | : | Yes |
Sponsored Links:
|
Resume Format / CV Sample Template / Example / Model : |
|
SHYAMILY KURIAKOSE :
Citizenship : India
Date of Birth : 28 JAN 1992
e-mail : shyamilykuriakose AT gmail.com
Objective :
To pursue a challenging career and be part of a progressive organization that gives scope to enhance my knowledge, skills and to reach the pinnacle in the computing and research field with sheer determination, dedication and hard work.
Field of interest :
Data Mining, Data Structures, Object Oriented Technology, Data Security, Mathematics, Database Management Systems, Computer Organization, Computer Programming Using C.
Key Skills :
Proficient or familiar with a vast array of programming languages, concepts and technologies, including : C C++ Java Octave Ms Office Open office Latex Windows Linux /ubuntu Debian Case tool Ns2 Java Netbeans Php
Education :
2013 to 2015 Master in Computer Science & Engineering M.G University, ILAHIA Mulavoor. Ernakulam CGPA : 8.16 (Pursuing) 2009 to 2013
B.Tech in Computer Science & Engineering M.G University, FISAT Angamaly. Ernakulam Percentage : 68.35 2007 to 2009
PLUS TWO Kerala state, S.T Francis Aluva. Ernakulam Percentage : 86 2007
SSLC Kerala state, S.T Francis Aluva. Ernakulam Percentage : 83
ACADEMIC PROJECTS AND SEMINAR :
M.TECH SEMINAR :
1.Anomaly Detection via Online Oversampling Principal Component Analysis SEMINAR
2. A Family of Joint Sparse PCA Algorithms for Anomaly Localization in Network Data Streams
M.TECH PROJECT :
A Balanced Distributed Strategies for Outlier Mining in Large Data Sets
Front End : Java o Back End: MySQL
Operating System :Windows PROJECT
Predicting The Efficiency of Difficult Queries over Databases using SGS Approach
Front End :Java o Back End: Mysql
Operating System :Windows
B.TECH PROJECT :
Music compression using PCA
Front End : OCTAVE
Back End : MySQL
Operating System :Linux/Debian
PROJECT :
Evolving Search engine using Genetic Algorithm
Front End :Python o Back End: Php Myadmin
Operating System :Linux/Debian
Brief details of Co-curricular and extra-curricular activities :
** Won best student award at school level
** Class representative ( 1st year M.Tech graduation)
** Won fee favour scholarship at B.Tech among 120 students
** Attended two days workshop on "CASE TOOLS" Conducted by Computer Science & Engineering Department CKC, Mannoor.
** Lectures and hands on experience class taken by Professor, K.S.Mathew (IIT Kharagpur)
** Attended two days workshop on "DATA MINING" Conducted by Computer Science & Engineering Department Adi Shankara college, kalady.
** Attended one week Training workshop on "Power communication mPOWER" Conducted by Computer Science & Engineering Department FISAT, Angamaly.
** Lectures and hands on experience class taken by Mridula and Krish
Hobbies & Interests :
Driving
Cooking
Languages Known :
English
Malayalam
Hindi
Personal Details :
Father’s Name :Kuriakose T.C
Nationality : Indian
Date of Birth : 28-01-1992
E-mail address : shyamilykuriakose AT gmail.com
Category :General
Marital status :UnMarried
DECLARATION :
I SHYAMILY KURIAKOSE hereby declare that the information furnished above is correct to the best of my knowledge.
If I am appointed I will abide by the rules and regulations of the organization.
Date :
SHYAMILY KURIAKOSE
|
|
Notes |
1. This is an online resume, managed by the candidate.
2. Create your online resume here.
3. If candidate allows, recruiters can contact the candidate directly.
4. Personal and contact details can be kept private optionally by the candidate.
5. Create a link to this online resume where ever you want in the web.
|
|