Manual Testing and Automation Selenium

MOHAMED IRFAN M.N.

Date of Birth: *th Feb ****

Mobile: +91-999*******

E-mail: **********@*****.***

Career Objective:

Aspiring for a challenging career and to build on my skills, professionalism and experience in an environment that promotes continual upgrading of knowledge with strong opportunity for advancement within the company.

Educational Qualifications:

Master of Computer Applications(MCA), Dr.Sivanthi Aditanar College with an aggregate of 7.0 CGPA

Bachelor of Computer Applications(BCA), Sadakathulla Appa College with an aggregate of 6.7 CGPA

HSC with an aggregate of 57%.

SSLC with an aggregate of 61%.

Manual Testing

Good knowledge of SDLC and STLC.

Good knowledge of White box testing and Black box testing.

Good knowledge in Smoke, Functional, Integration, System Testing.

Good Knowledge of Writing, Execution and Reviewing of Test case.

Extensive knowledge about Agile Methodology.

SQL

Good knowledge on RDBMS concepts.

Good knowledge on DDL, DML and TCL.

Good knowledge on Grouping and Functions.

Good knowledge on JOINS and its types.

JAVA

Good knowledge on Basic programs.

Good knowledge on Class, object, Constructor.

Good knowledge on Abstract, Interface, Inheritance.

Good knowledge on Overloading, Overriding.

Good knowledge on Type casting.

Good knowledge on Run time Polymorphism

AUTOMATION TESTING (SELENIUM 2/Web Driver)

Good knowledge on Handling Dropdown and List Box.

Good knowledge on handling Mouse Actions.

Knowledge on Handling Pop-ups in Selenium.

Good knowledge on Web Driver.

Expertise in Finding Xpath.

Executed test scripts on Firefox

Basic knowledge on Selenium IDE, Grid, RC.

ACADEMIC PROJECT

Human Tracking System Using DFP on Wireless Environment

Language of Implementation : JAVA

Integrated Development Environment : Eclipse 3.7.2

Project Description:

The main goal of this Project is to track the mortal localization without any gadget and manipulator involvement. Probabilistic techniques are used to implement DfP localization in large-scale real environments. We are using continuous space estimator to return multiple location in motion.

Declaration:

I hereby declare that the details furnished above are true to the best of my knowledge.

Place:

Date: MOHAMED IRFAN.M.N

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