Manpreet S.

Manpreet S.

Linux Redhat certified RHEL 7

Mumbai , India

Experience: 3 Years

Manpreet

Mumbai , India

Linux Redhat certified RHEL 7

24685.6 USD / Year

  • Immediate: Available

3 Years

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About Me

 

<!--[if !supportLists]-->✦     <!--[endif]-->Installation and configuration of RHEL, Centos, OEL 5.x/6.x/7.x

<!--[if !supportLists]-->✦     <!--[endif]-->Monitoring of Linux S...

<!--[if !supportLists]-->✦     <!--[endif]-->Monitoring of Linux Server’s Environment using Nagios.

<!--[if !supportLists]-->✦     <!--[endif]-->File System management using LVM, partitioning of LUN on Server.

<!--[if !supportLists]-->✦     <!--[endif]-->Responsible for Installation of Red Hat Linux OS using CD-ROM

<!--[if !supportLists]-->✦     <!--[endif]-->Responsible for User account management creation, deletion and assigning permission.

<!--[if !supportLists]-->✦     <!--[endif]-->Responsible for Disk Space Management using LVM.

<!--[if !supportLists]-->✦     <!--[endif]-->Responsible for Monitor system performance.

<!--[if !supportLists]-->✦     <!--[endif]-->Job Scheduling and Automating Process using CRON.

<!--[if !supportLists]-->✦     <!--[endif]-->Monitoring System activity as well as server performance.

<!--[if !supportLists]-->✦     <!--[endif]-->Configured NFS for file sharing on clients.            

<!--[if !supportLists]-->✦     <!--[endif]-->Responsible for  Hardening.

<!--[if !supportLists]-->✦     <!--[endif]-->Configured of remote connection tools like ssh, telnet.

<!--[if !supportLists]-->✦     <!--[endif]-->Taking backup on Linux server using rsync and scp.

<!--[if !supportLists]-->✦     <!--[endif]-->Rsyslog and Log Rotation Management.

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Portfolio Projects

Description

Implemented Red hat virtualization

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Description

  • In this project I used DTW to recognize the spoken phrases in which reference template is created .Through the reference template; we can recognize the spoken phrase. The wave files Used are 16000 Hz sampled. The recognition was among 12 files for each test utterance. The recognition accuracy found was 98%.

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