Detail-oriented undergraduate student pursuing a degree in Instrumentation and Control Engineering at L.D. College of Engineering. Proficient in industry-standard tools such as MATLAB, Simulink, and LabView. Passionate about optimizing control systems to improve efficiency and reliability. Known for confidence, hard work, and strong teamwork skills. Seeking a full-time position that offers professional challenges, utilizing interpersonal skills, excellent time management, and problem-solving abilities.
Internship Project Description: IoT Development using Industry-Grade Microcontroller
During my one-month internship, I undertook a comprehensive project focusing on IoT development using an industry-grade microcontroller. The primary objective was to design and implement a scalable IoT solution capable of remote environmental monitoring.
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Teamwork and Collaboration
Data Science Using Python - DevTown
Heat Sensing Alarm Using IR Sensor: This project focuses on creating a heat sensing alarm system using two IR (Infrared) sensors and an Arduino Uno. The IR sensors detect the presence of heat and trigger an LED as an alarm indicator when a significant temperature rise is detected. The Arduino Uno serves as the central controller, processing the signals from the IR sensors and activating the LED. This simple yet effective system is useful for fire detection, machinery monitoring, and ensuring safety in various environments by providing early warnings of potential heat-related hazards.
Advanced Excel - SkillNation
Automatic Bottle Filling Using SCADA Application: This project involves the design and implementation of an automatic bottle filling system controlled through a SCADA (Supervisory Control and Data Acquisition) application. The SCADA software monitors and manages the entire filling process, ensuring precision and efficiency. The system includes sensors to detect the presence of bottles, actuators to control the flow of liquid, and a user-friendly interface for real-time monitoring and control. This automation enhances productivity, minimizes human intervention, and ensures consistent fill levels, making it ideal for industrial applications.
Data Science Using Python - DevTown