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Help Desk Software Testing

Location:
Chennai, Tamil Nadu, India
Salary:
18-20k
Posted:
September 10, 2023

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Resume:

SHRIRAM P

Address: No. */***, Rajendra Prasad Street, Perumbakkam, Chennai -600100.

Contact: +91-936**-***** E-mail: adzlhj@r.postjobfree.com PROFILE

• An enthusiastic fresher having Bachelor of Engineering degree in Computer Science and Engineering from

• Jeppiaar SRR Engineering college affiliated with Anna University.

• Proficient in a range of modern technologies including Java with Selenium.

• Basic knowledge in game development concept and scenario.

• Interested in working Software Testing.

• Always willing to innovate new things which can improve the existing technology. ACADEMIC CREDENTIALS

Exam / Degree

Name of the Institution

University/ Board

Year of

Passing

Percentage/

CGPA

B.E. (CSE) Jeppiaar SRR Engineering College Anna University 2020 6.76% HSC (12th) Corley Higher Secondary School State Board 2016 54% SSC (10th) Corley Higher Secondary School State Board 2014 74% COURSES & CERTIFICATION

• Course / Certification Details

• Institution

• Year

• Game Development Using PyGame • Guvi Geek Networks, IITK • 2020

• Java With Selenium (Manual

And Automation Testing)

• Greens

Technologies,

Perumbakkam

• 2022

Creative Design

Problem Solving

Time Management

Fast Learner

Communication Skills

CORE COMPETENCIES

Quality Control

Risk Management

Software Testing

Business Analysis

Critical Thinking

Strong Analytical Skills

Digital Marketing

Team Player

Self-Motivated

SDLC Model

Career Objective: A highly motivated individual looking for a challenging position in a reputable organization to expand and utilize my learning skills and knowledge. Possess excellent communication skills and have an eye for detail. Flexible to work in any environment as required.

TECHNICAL SKILLS

Java Selenium C C++ MS Office

Tim Service Desk Engineer 5th Jan 2023 – Till Date Tech Mahindra (Deputed from Alivelu Enterprises), Hyderabad Responsibilities:

• IT Support relating to technical issues involving Microsoft’s core business applications, Linux and Windows OS 8, 8.1, 10 and 11 installation and configuration.

• Involved in Q365 and Microsoft outlook installation, configuration and trouble shooting.

• Technical services and support at the network level: Protocols-FTP, SMTP, POPS, IMAP VLAN, inter-VLAN, NAT, VPN, TCP, UDP, DHCP, DNS., Active directory, DNS and group policy and security.

• Installation and configuration of Server operating system like 2016 & 2019.

• Installation and configuration of AWS, Eclipse, Citrix, Workspace, Forti client and Git Hub.

• Have experience in installing and maintaining Zscaler, Trellix and McAfee antivirus.

• Identifying and recommending solutions to improve efficiency and performance of IT infrastructure.

• Performing routine maintenance tasks such as updating virus definitions and operating system patches.

• Providing first level support for end users including answering basic questions about computers or software applications.

• Installing new software or hardware on computers and servers. Monitoring computer performance to ensure optimal response time and system uptime.

• Managing the help desk call queue to ensure that all requests are addressed in a timely manner.

• Extended user support by using remote access tools like Any-desk and LogMeIn.

• supporting the IT Help Desk Services organization to ensure services are delivered to meet customer business needs and expectations, within SLA standards.

PROJECT DETAILS

Project Name: An Adaptive Threshold based detection and Segmentation of Retinal, Lesions in Fundus images Software: MATLAB

Operating System: Windows XP

Project Objectives: The main objective is to detect and segment the Lesions from the human retinal images by using different image processing techniques.

Project Conclusion: The Prepare approach provides a fully trainable model for segmentation of retinal lesions in retinal images and proposes a novel methodology of adaptive thresholding-based method for exploring images-level labels to improve segmentation performance. The fast execution time makes the model suitable for clinical deployment. Consequently, future work will assess how it can accelerate the process of labelling data by a clinician, by providing lesion pre-annotations. Subsequent research will also focus on classifying the individual segmented lesions. This will serve two purposes: (1) building a detailed atlas of the retinal lesions, and (2) providing an automatic diagnosis established using a set of rules based on the detected lesions. Both of these developments will contribute to a computer-aided diagnosis system that is transparent in its decision making. PERSONAL DETAILS

Date of Birth: 5-Mar-1999

Gender: Male.

Father's Name: E. Parthasarathy.

Marital Status: Single.

Languages Known: English and Tamil.

Interests / Hobbies: Reading Magazines, Internet Browsing, etc.



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