Nidhin Aneesh PMobile: +918281750726, +917559963032Email: nidaneesh12@gmail.com

Career Objective:

To continue to grow in knowledge, excel in innovative technology application, interact and share

with team members and colleagues, and develop world class solutions to real life challenges.

Education:

B. E (Electronics & Communication Engineering) from R.V.S College of Engineering & Technology, Coimbatore (Anna University) in 2014.

XII with from T.M.V Higher Secondary School, Thrissur (Kerala - State Board) in 2010. X from Bethany St.Johns Higher Secondary School, Thrissur (Kerala - State Board) in 2008.

Areas of Interest:

Networking.

Professional Training :

CCNA & CCNP (Routing and Switching). CCNA (Security).

Certification:

CISCO CERTIFIED NETWORK ASSOCIATE (CCNA). CISCO ID NO : CSCO12865049.

Technical Skills:

Operating System:

Windows 9X, Windows 2000 server/professional, Windows XP, Windows 2003 server, Windows 2007, Windows 2008, Windows 2010.

Networking:

LAN & WAN concepts, Routing and Switching, Configuring Inter Vlan Communication. Well versed with Network Protocols: TCP/IP and Subnetting. Familiar with Network Cabling. Hands On Experience of Cisco : 1700, 1800, 1900, 2600, 2800 Series Routers. Hands On Experience of Cisco : 2600, 2900, 3500, 3700 Series Catalyst Switches. Configuration Of Routing Protocols : STATIC, RIP, EIGRP, OSPF & BGP. Extensive knowledge of Standard & Extended ACL. Extensive knowledge of NAT & PAT. Hands On Experience of Cisco Routers Backup, Recovery & Password Breaking. Implementing LAN and WAN Connections Using SWITCHES & ROUTERS. Setup Of Layer 2 Switching & STP.

Configuring & Troubleshooting PPP, FRAME RELAY, RIP, EIGRP, OSPF, VLAN, TRUNKING, and HSRP & IP Addressing Issues.

During the course, I learned how to install and configure Cisco products like Cisco Catalyst 2900, 3550 Switches, Cisco 1900, 2500, 2600, 3600 Router with protocol involving TCP/IP, RIPV1, RIPV2, EIGRP, OSPF, BGP.

Projects Undertaken:

Brain Tumor Detection System:

This project proposes detecting and locating the brain tumor in the Magnetic Resonance Imaging (MRI) image. The K-means clustering algorithm is the recently used technique in detecting brain tumor. K-means does not work well with clusters of different size and different density. The number of clusters has to be given as input to the algorithm. In order to overcome the disadvantages, Watershed segmentation method is proposed to detect the tumor.

Tools used: MatLab.

Co-Curricular achievements and participation:

A seasoned Badminton player represented my district at the Under-17 level. Yoga- Certified the ‘Isha yoga’ certificate at college for my active participation.

Personal Information:

Date of Birth : 12/01/1993.Father’s Name : Aneesh P K.Nationality : Indian.Sex : Male.Marital Status : Single.Languages : English, Malayalam, Hindi and Tamil.Residential Address : Pulikkottil house, Kadavallur (po), Thrissur (dist), Kerala-680543.

Declaration:

I here by declare that the above mentioned information is correct up to my knowledge and I bear the responsibility for the correctness of the above mentioned particulars.

Place : Yours Faithfully,

Date : NIDHIN ANEESH