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vineeth mathangi

vineeth mathangi

Msc Internet Of Things
Belfast City Centre, Belfast

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About vineeth mathangi:

A year of expertise in data networking with very keen role of processing data, attention to details, dexterity, stamina, technical skills, and time management. career minded student with a reputation for constantly going beyond what is required and employing personal high standards to achieve smooth functioning and resulting in the realization of both individual and organizational objectives.

 

Experience

  • Providing the L1support for all the IT devices
  • Responsible for providing the latency, uptime/availability report to Customer Stake Holders
  • Assigning IP addresses to all Network devices as per IP Schema.
  • Coordinating with Service providers FE and LAN engineers for network troubleshooting. 
  • Link monitoring of 200+ sites and providing L1 support
  • Organizing client meetings and built solid client relationships that translated into increased turnover through follow-up projects.
  • Working on the tickets assigned by the service desk and provide solution within agreed SLA and escalate to respective vendors and 2nd line for escalated cases.
  • Routers worked on Cisco – 1841,1941/K9, 2811 and 2911/K9 and switches worked on Cisco – 2960,2960 LAN lite and 3560.

Hardening of Network devices to the standards against CIS benchmarks and Applying patches to Network devices as per Security/SOC Vulnerability report.

Education

EDUCATION

 MSc | INTERNET OF THINGS |THE UNIVERSITY OF ULSTER: (2:1) Commendation.                                                                                                                 Belfast, UK | JAN 2021 - May 2022    

Coursework Summary:

  • Pervasive Computing - Node MCU (Microcontroller), Sensors, IOT Things speak .
  • Digital signal processing -MATLAB, ECG signal.
  • Embedded system and sensors – Arduino, Sensors, third party - API.
  • Big data and Infrastructure- Docker container, sandbox, HIVE 2.0, Zeppelin.
  • Statistical Modelling and Data Mining - basic Machine learning techniques.
  • Network and Security -Networking protocols TCP/UDP, OSI model, Wireshark, Raspberry pi OS.

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