RESUME

Heena Arora 628-***-****) (admdvb@r.postjobfree.com)

M. Tech. (Computer Science and Engineering)

DAVIET, Jalandhar

Objective: Looking to work in a challenging environment where I can implement my theoretical knowledge to gain practical exposure and learn new skills to become a better professional

Educational Profile

Examination

University

Institute

Percentage

M. Tech.

PTU

DAVIET, Jalandhar

79%

B. Tech.

PTU

GNDEC, Ludhiana

71%

+2.

PSEB

Ewing Christian

77.3%

Matriculation.

PSEB

S.A. V

74.10%

Research Interests

·Machine Learning, Bioinformatics, Cloud Computing.

Paper publishing

APPROACHES FOR LANE DETECTION IN ADVANCED DRIVER ASSISTANCE SYSTEM (ADAS): A REVIEW published in International Interdisciplinary Conference on Science Technology Engineering Management Pharmacy and Humanities Held on 22nd – 23rd April 2017, in Singapore.

Inheritance of Hybrid Meta-Heuristic Approach for Multiple Sequence Alignment to optimize Genetic Aligner published in IJRECE VOL. 6 ISSUE 2 APR.-JUNE 2018.

Academic achievements

Certificate in “Oracle Workforce Development Program” in “Web Component Development using java Technologies” from NIIT, Ludhiana.

Certificate of Industrial Training Program in “PHP+CMS” from ALCANTTOR Information Solutions Pvt. Ltd.

Certificate of industrial Training Program in “Core-Java” from “SLR Info Tech Pvt. Ltd. CHD.

Certificate of IBM in course of “ python in data science”

Certificate of completion of course on “Core Java” from NIIT, Ludhiana.

Certificate of industrial Training Program in “PHP+CMS” from RCE Wind Tech Pvt. Ltd.

Chandigarh.

Major projects

1)M. Tech Thesis: Inheritance of Meta-Heuristic Approach for Multiple Sequence Alignment to optimize Genetic Aligner.

(Guide: Assistant Professor Mrs. Avani Chopra, Daviet, Jalandhar.

In this we work on the bioinformatics with machine learning. The Proposed algorithm provides native search dimension in existing search space which helps to improve the optimize results and also helps to track mutation between multiple sequences with effective heuristic knowledge base. Meta-heuristic approach generally uses artificial intelligence which learn from past experience and achieves optimum results. we implemented this work in R Language.

M. Tech Project: KNN Classifier Providing Data Confidentiality using Cloud Computing

In this Project we worked on virtualization by using NetBeans. As we know Securing the data in

cloud is still a challenging issue. In this project we implemented a data classification approach

based on data confidentiality. KNN data classification technology is modulated in the cloud

virtual environment. After classification we use RSA and AES algorithms are used to encrypt the . data. Than we calculate encryption time at end. The Whole work is implemented using NetBeans

3)B. Tech Projects: E- Voting, Insurance Management System, Energy management system.

E-Voting which is implemented in PHP Language using code blocks framework. which manage and

and store data. Energy Billing System, Insurance system both are implemented in Core java using

NetBeans framework.

Software skills

·Languages: C++, Core Java, CSS, PHP, HTML, SQL, JavaScript, R Language

·Special skills: Cloud Computing, Machine learning, Bioinformatics

·Tools: NetBeans, RStudio

Courses undertaken:

·Cloud Computing, Agile Methodology, Big Data, Digital Image Processing

Co-curricular activities:

Certificate in Atharva for participating in Rush Hour held at GNDEC, Ludhiana

Certificate of participation in genesis in Skit event held at GNDEC, Ludhiana

Experience:

2 year Experience in Chandigarh University as project co-coordinator.

1 year experience as java trainer.

6 months experience as free Lancer.

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