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Shreya GhoshSG
Open to opportunities

Shreya Ghosh

@shreyaghosh

Aspiring robotics engineer focused on innovative solutions and learning.

India
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What I'm looking for

I am looking for opportunities that foster continuous learning and allow me to contribute to innovative projects in robotics and automation.

I am a passionate robotics engineering student with a strong focus on developing innovative solutions in the field of automation and machine learning. My recent projects, including the development of an intelligent diagnostic system for dental health and a driver interface for an ATV, showcase my ability to integrate complex systems and improve user experiences through technology.

During my internship at AICTE IDEA Lab, I successfully developed a Spybot for remote exploration and monitoring, which enhanced data flow consistency by 40%. My technical skills encompass system design, programming, and proficiency in various CAD and simulation tools, allowing me to tackle challenges effectively. I am eager to apply my knowledge and skills in a dynamic work environment while continuing to learn from industry mentors.

Experience

Work history, roles, and key accomplishments

AN

Project Intern

AICTE IDEA Lab, Nashik

Dec 2023 - Jan 2024 (1 month)

Developed a Spybot for remote monitoring with real-time data processing using a microcontroller. Integrated 5+ subsystems, improving performance and data flow consistency by 40%.

Education

Degrees, certifications, and relevant coursework

SU

Savitribai Phule Pune University

Bachelor of Engineering, Robotics & Automation

Grade: 7.3 / 10

Activities and societies: Served as Electronics Subsystem Co-Head and Cost Bills Manager for Team Brahmastra Racing-BAJA SAE INDIA, contributing to the development of an ATV for the SAE INDIA competition. Achieved All India Rank 11th in SAE eBAJA 2024.

Pursued a Bachelor of Engineering in Robotics & Automation, gaining comprehensive knowledge in system design, machine learning, and various communication protocols. Achieved a CGPA of 7.3 out of 10, demonstrating strong academic performance in the field.

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