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Inplant Training Control

Location:
Chennai, Tamil Nadu, India
Posted:
January 14, 2020

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Resume:

SRI BALA KRISHNA L V

Email : adbara@r.postjobfree.com

Mobile : 979*******

CAREER OBJECTIVE:

To have a challenging career in a leading organization that provides an opportunity to enrich my skills and explore my knowledge, so as to attain a good position and contribute effectively towards the growth of the company. EDUCATIONAL QUALIFICATIONS:

COURSE INSTITUTION UNIVERSITY

/BOARD

YEAR

OF

PASSING

PERCENTAGE

OF MARKS

M.TECH-

Instrumentation

and Control

(Intg.)

SASTRA deemed to

be

University,Thanjavur

SASTRA

deemed to be

University

2019 60%

HSC Sakthi Vinayakar

Hindu Vidyalaya,

Tuticorin

State Board

2014 89.33%

SSC Sakthi Vinayakar

Hindu Vidyalaya,

Tuticorin

CBSE

2012 84%

TECHNICAL QUALIFICATION:

Obtained Post Graduate Diploma in Industrial Automation (PGDIA) from SMEC Labs, Chennai, with 6 months hands on practical experience in Industrial Automation Tools specializing in PLC, SCADA and VFD. TECHNICAL SKILLS:

PLC (Programmable Logic Controllers) - Programming languages such as LD

(Ladder Diagram) & FBD (Functional Block Diagram) exposure in brand as Siemens, AB (Allen Bradley), ABB (Asea Brown Boveri), Honeywell

Hands on Practical exposure in Schneider, Omron, Mitsubishi, and Delta

SCADA (Supervisory Control & Data Acquisition) – Screen designing, PLC interface, Data collection & storage

HMI (Human Machine Interface) - Screen designing, PLC interface

MCC - Motor Control Center.

PAC (Programmable Automation Controller) – X, Y axis Robotic Control using Servo motors & drives

VFD (Variable Frequency Drive) – Commissioning and Troubleshooting

Pneumatics & Field Instruments ( Control Valve, Sensors, Level Transmitters, Flow Transmitters, Temperature Transmitters, Pressure Switches)

Knowledge in Panel wiring

Knowledge in PID (Proportional Integral Derivative)

Troubleshooting – PLC

- Control Panel (Power wiring & Control wiring)

ACADEMIC PROJECT:

Main Project:

Project Title: DETECTION OF ABNORMALITY OF A CARDIOVASCULAR SIGNAL USING DEEP LEARNING ALGORITHM

Description: ECG is acquired by placing electrodes on the patient’s body. ECG output is transferred to PC via NodeMCU. Arduino acts as a interface between PC and NodeMCU. With the obtained output, abnormalities can be detected using deep learning algorithm.

CO-CURRICULAR ACTIVITIES:

Attended a conference on “ROBOTICS: CURRENT TRENDS AND FUTURE CHALLENGES” organized by SASTRA deemed to be University during December,2016

EXTRA CURRICULAR ACTIVITIES:

Overall Sports Co-ordinator of the event COLOSSEUM (National Level Sports Fest organized by SASTRA deemed to be University)

Member of the team “PUBLIC RELATIONS”- KURUKSASTRA (Inter- college cultural fest of SASTRA deemed to be University) IN PLANT TRAINING:

Attended an Inplant Training at “Uniq Technologies Private Limited”,Coimbatore COMPUTER SKILLS

Languages : C, C++, SQL

Packages : MS Word, MS Excel, MS Powerpoint

Designing Tools : MATLAB, LabVIEW, Adobe Premiere Pro, After Effects

Operating Systems : Windows 10, Windows 8, Windows XP PERSONAL PROFILE:

Father’s Name : V. VEERA SUNDARAM

Mother’s Name : V. LATHA RAJESWARI

Gender : MALE

Date of Birth : 10-01-1997

Languages known : ENGLISH, TAMIL

Hobbies : Reading, Writing

Passport Number with validity period : S8541987 / 11-02 - 2029 Complete Address with PIN Code : 107J/93D/3, GV COLONY, MILLERPURAM TUTICORIN-628008.

DECLARATION:

I hereby declare that the above particulars furnished by me are true to the best of my knowledge and belief.

SRI BALA KRISHNA L V



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