sRiDhAr UserSU
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sRiDhAr User

@sridharuser

Eager data analyst passionate about machine learning and actionable insights.

India

What I'm looking for

I seek a role that fosters growth, encourages innovation, and values collaboration.

I am currently pursuing a Bachelor of Engineering in Computer Science and Engineering, where I have developed a strong foundation in machine learning and data analytics. My academic journey has been marked by a commitment to excellence, as evidenced by my CGPA of 8.31. I thrive on solving real-world challenges through innovative data-driven solutions.

My projects, such as the Sign-Speech Recognition system and the AI-powered ChatBot, showcase my ability to apply advanced technologies like deep learning, OCR, and NLP to create impactful applications. I am dedicated to continuous learning and am eager to contribute to projects that transform raw data into actionable insights for enhanced business performance.

Experience

Work history, roles, and key accomplishments

SE

Sign - Speech Recognition

Self Employed

Developed a real-time system that converts sign language gestures into text and speech using deep learning. Implemented a CNN-based model with TensorFlow and OpenCV for accurate gesture recognition.

SE

Personalized ChatBot

Self Employed

Developed an AI-powered chatbot that extracts key details from images and documents using OCR and NLP. Implemented automated data extraction for certificates, forms, and structured documents to improve accessibility.

Education

Degrees, certifications, and relevant coursework

ST

SNS College of Technology

Bachelor of Engineering, Computer Science and Engineering

Grade: CGPA - 8.31 | Till Semester IV

Currently pursuing a Bachelor of Engineering in Computer Science and Engineering. Focused on core concepts and applications within the field, achieving a CGPA of 8.31 up to the fourth semester.

LS

Little Angels Hr. Sec. School

HSC, General Studies

Grade: 89%

Completed Higher Secondary Certificate (HSC) with a strong academic performance. Achieved an overall score of 89%.

SS

Shinehill Academy Matric. Hr. Sec. School

SSLC, General Studies

Grade: 82%

Obtained Secondary School Leaving Certificate (SSLC) with a strong academic performance. Achieved an overall score of 82%.

Tech stack

Software and tools used professionally

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sRiDhAr User - Sign - Speech Recognition - Self Employed | Himalayas