
Monisha Vardharajan
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Monisha Vardharajan
- 3 months, Mar 2023 - May 2023
Research And Development Intern
Fracarro Radioindustrie
Implementation of a working prototype of an IOT gateway with existing hardware [MYD-Y6ULY2-V2] and GSM quectel ec25 module. The application enables exchange of messages using MQTT protocol, send status updates using SMS, receive commands via a voice channel using DTMF tones and notify alarms via phone calls to a registered phone number. Skills: C · Internet of Things (IoT) · Network Protocols · Embedded Linux
- 1 year and 3 months, Jul 2019 - Sep 2020
Network Engineer
QuadGen
- Ericsson OSS support. - Troubleshooting/configuring and maintenance of UMTS/ LTE/5G AT&T telecommunication networks and Ericsson equipment across 7 markets. - Effective collaboration and communication with AT&T field engineers. Skills: Network Troubleshooting · Ericsson OSS · Antennas
- 3 months, Jan 2019 - Mar 2019
Research Intern
National Aerospace Laboratories
- Generated faulty/noisy signals using signal processing. [ MATLAB] - Sampled/classified the signals to make the training data set. - Detected the faults in a wireless sensor network using python. Skills: MATLAB · python · Machine Learning
- 3 months, Jan 2018 - Mar 2018
Research Intern
SASMOS HET TECHNOLOGIES LIMITED
IOT based system using microcontroller - Sent out an email using an ESP8266 Wi-Fi inbuilt microcontroller. - Programmed the microcontroller using LUA scripts. Skills: Microcontrollers · Lua · Internet of Things (IoT)
Ausbildung von Monisha Vardharajan
- 2 years and 3 months, Oct 2021 - Dec 2023
ICT for Internet and Multimedia in Telecommunications
University of Padua
Thesis: Study and implementation of a domotic fall detection system using off-the-shelf IoT devices interconnected via Home Assistant platform.
- 4 years and 1 month, Aug 2015 - Aug 2019
Telecommunications engineering
CMR Institute of Technology
Thesis: Driver's Health Monitoring System - RFID scanning for dual authentication. - Alcohol detection system using arduino. - Pulse monitoring system using PPG sensors. - Fatigue monitoring system using raspberry pi 3.0
Sprachen
English
C2 (Verhandlungssicher / Muttersprachlich)
German
A1-A2 (Grundkenntnisse)
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