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Computer Science Information Technology

Location:
San Jose, California, United States
Posted:
January 09, 2018

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Ekta Agrawal

**** ********* ****, *** **, San Jose CA 95126

Mobile: +1-669-***-****

Email: ac3ykx@r.postjobfree.com

CAREER 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.

WORK EXPERIENCE:

Worked as a Social Media Evaluator at Appen Butler Hill and having a 1.6 year experience.

6 month of work experience as a trainee in Elnathan Technologies Pvt. Ltd. Gurgaon, India

Worked as an Assistant professor in the Department of Computer Science and Engg. At SDITS, Khandwa from May2011 till Aug2014.

1 years of work experience as a guest faculty in the Department of Computer Science and Engg. Government College of Engineering (UEC), Ujjain.

PROFESSIONAL SUMMARY:

Good understanding of Data Structures and Algorithms, DBMS and Computer Networking.

Good understanding of programming techniques and flexible to work on any technology/domain.

Good understanding of Software development life cycle.

Excellent time management skills to ensure targets are met and plans completed efficiently.

Ability to maintain high standards of achievement, behavior, discipline and punctuality.

Good team member, provides innovative ideas guidance and feedback to help team to achieve the target on time.

Willing to take responsibility for the quality of teaching delivered and to make necessary changes to improve quality and maintain standard.

ACADEMIC QUALIFICATION

Education Level

Year of passing

Institute

Performance

MTech (Computer Science & Engg.)

2013

OIST Bhopal

7.68 GPA

BE (Computer Science & Engg.)

2009

SDITS Khandwa(RGPV,Bhopal)

77.5%

12th standard

2005

Sarswati Vidhya Mandir Khandwa (M.P.)

65.5%

10th standard

2003

Sarswati Vidhya Mandir Khandwa (M.P.)

71.8%

M-TECH PROJECT DETAIL

Implementation and design of “data object optimal manipulation on database using merging algorithm (DOOMDUMA)

The main aim of DOOMDUMA is to provide user friendly feature, less scanning and efficient output. The goal was set to develop an interface that would extract desired information from available data repository. This interface was expected to be easy for use, quick and most importantly satisfying the actual needs of the user. The main aim of our system is to search synonym word from global dictionary, and also analyze the behavior of frequent query. It means user does not require to update the dictionary for each new word. Our lexical dictionary can be created on run time according to our data base, so we do not require creating a dictionary manually. Our system reduce memory space required to load this dictionary and also reduce the searching time because we use the concept of frequent search in which user write a single token and all frequent query related to that token will be fetched from permanent data base and is shown to user, so we do not require to search each word on lexical dictionary for this query. Develop an interface that provides proper, correct and precise information in response to a non-formal query in a natural language English.

TECHNICAL SKILLS:

Programming languages : C, C++

DBMS : ORACLE, SQL

Operating System : Windows, Linux

SUBJECT TAUGHT:

Data structure and algorithm, DBMS, ADA, CSO, Cloud computing, Computer Networks, Distributed System

ACHIVEMENT AND PUBLICATION:

Presented a paper on "Data object optimal manipulation on database using merging algorithm (Doomduma)" in International Conference IEEE ICCCNT (2013) in Tamil Nadu and was published in IEEE Publication.

Presented a paper on “Predict Frequency Query Using Priority Queue Algorithm“ in ICCSIT International Conference on Computer Science and Information Technology(2012) in Bhopal and got a Youngster Research award and First prize.

I have published my paper on “Natural Query Generation By Single token matching" in International Journal of Emerging Technology and Advanced Engineering IJETAE (2012)

I have published my paper on "NLP Token Matching On Database Using Binary Search" in International Journal of Emerging Technology and Advanced Engineering (2012)IJCT

PERSONAL PROFILE:

Name : Ekta Agrawal

Date of Birth : 06/07/1988

Linguistic Ability : English, Hindi



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