Figura professionale: Software Tester

Nome Cognome: R. B.Età: 28
Cellulare/Telefono: Riservato!E-mail: Riservato!
CV Allegato: Riservato!Categoria CV: Help Desk / Tester
Sede preferita: Italy, Europe

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Sommario

Software Tester

Esperienze

Alexa-The New Gen Artificial Intelligence

·        I am working at Amazon.com, Inc., employed as Associate, Quality Services with the Alexa project. Alexa, is a virtual assistant developed by Amazon for its Echo devices.

·        Created Test plan & Script, Defect Management Templates; Created Initial test plan and developed test cases and test scripts manually.

·        Interact with Developers and Business Analysts to perform various types of testing throughout Software Testing Life Cycle (STLC) and Bug Life Cycle (BLC). Have good hand-on with JIRA bug tracking tool.

·        Actively participated in all QA and testing activities during UAT and PROD SDLC, Black box testing. Actively participated in smoke, functional and ad-hoc testing during SIT phase.

·        Tested Applications compatibility on different browser versions (IE, Firefox,Chrome) and different platforms(iOS and Android) also.

LMS – Learning Management System

·         I worked at PeopleONE Technologies Pvt Ltd which was initially known as ExpertusONE.

 I have been employed in this company from March 13, 2017 to November 19, 2018.

·        The project that I was handling there is “Learning Management System”. It is an E-Learning application. We had various boxes such as the Sandbox , Demo , Staging environments that are shared to our clients.

·        Conducted Root Cause Analysis and provided Permanent Resolution for each problem ticket reported.

·        Provided week-end support for testing applications during build deployment. Under this product we manage customer relationship via bug fixing and maintenance of the product on daily basis for the ease of sales team to perform demo to the customers.

·        The initial data set-up for each product were done by our team that is based on the customer’s requirements.

·        The Salesforce account is used for reporting. We used the Zoho ticketing system for bug reporting and mailing.

·        Have received best employee awards in highest bug filing and fixing(entire bug life cycle).

 

EDUCATION
Bachelor, Technology                                             
Chettinad College of Engineering and Technology                    Graduated, April 2016            
Karur,TamilNadu.                                                                             Marks 80.48%
HSC                                                        
RSKrishnan Higher Secondary School, State Board           Graduated, March 2012            
Trichy, TamilNadu.                                                                           Marks 83.4%
SSLC                                   
RSKrishnan Higher Secondary School CBSE                Graduated, March 2010                
Trichy, TamilNadu.                                                                           Marks 83.6%

•    Associate, Quality Services (1.7 years).
•    Associate, Sales Support(8 months).
•    Solutions Associate (1.1 years).

SKILL 
•    High knowledge in Regression, Integration, Stress and Ad-hoc testing.
•    Created, Updated and Reviewed of Test cases and Test Scenarios.
•    Bug identification, filing, fixing and maintenance of the product behavior. 
•    Understanding of client confidentiality and professional boundaries. 
•    Good understanding of software development and the QA life cycle
•    Good communication and patience with customers.

LANGUAGE PC
•    Language : Basics of C, C++,Java.    
•    Operating system : Windows , Linux.
•    Database : MySQL

WORK EXPERIENCE
Alexa-The New Gen Artificial Intelligence
•    I am working at Amazon.com, Inc., employed as Associate, Quality Services with the Alexa project. Alexa, is a virtual assistant developed by Amazon for its Echo devices.
•    Created Test plan & Script, Defect Management Templates; Created Initial test plan and developed test cases and test scripts manually.
•    Interact with Developers and Business Analysts to perform various types of testing throughout Software Testing Life Cycle (STLC) and Bug Life Cycle (BLC). Have good hand-on with JIRA bug tracking tool.
•    Actively participated in all QA and testing activities during UAT and PROD SDLC, Black box testing. Actively participated in smoke, functional and ad-hoc testing during SIT phase.
•    Tested Applications compatibility on different browser versions (IE, Firefox,Chrome) and different platforms(iOS and Android) also. 
LMS – Learning Management System
•     I worked at PeopleONE Technologies Pvt Ltd which was initially known as ExpertusONE.
I have been employed in this company from March 13, 2017 to November 19, 2018.
•    The project that I was handling there is “Learning Management System”. It is an E-Learning application. We had various boxes such as the Sandbox , Demo , Staging environments that are shared to our clients.
•    Conducted Root Cause Analysis and provided Permanent Resolution for each problem ticket reported.
•    Provided week-end support for testing applications during build deployment. Under this product we manage customer relationship via bug fixing and maintenance of the product on daily basis for the ease of sales team to perform demo to the customers. 
•    The initial data set-up for each product were done by our team that is based on the customer’s requirements.
•    The Salesforce account is used for reporting. We used the Zoho ticketing system for bug reporting and mailing.
•    Have received best employee awards in highest bug filing and fixing(entire bug life cycle).

FACE RECOGNITION USING RPP ESTIMATION
In this project, instead of training an occlusion aware model with visibility annotation, we address this issue via a model adaptation scheme that uses the result of a local regression forest (RF) voting method. In the proposed scheme the consistency of the votes of the local RF in each of several over segmented regions is used to determine the reliability of predicting the location of the facial landmarks. 

LANGUAGE 
•    Tamil    •    Hindi
•    English    •    French

 

 

 

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