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