sRiDhAr User
@sridharuser
Eager data analyst passionate about machine learning and actionable insights.
What I'm looking for
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
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.
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
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.
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%.
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
Availability
Location
Authorized to work in
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