Amrita RajputAR
Open to opportunities

Amrita Rajput

@amritarajput

Computer Science major specializing in Data Science and AI.

India

What I'm looking for

I am looking for opportunities that foster innovation, collaboration, and growth in AI and data science.

Hi, I'm Amrita, a passionate third-year Computer Science major at Bennett University, specializing in Data Science. My journey in this field has been driven by a relentless curiosity for AI and big data, where I thrive on tackling complex problems and designing innovative solutions. Currently, I am exploring advanced concepts like Kolmogorov-Arnold Networks and Agentic AI, which fuels my desire to contribute to pioneering projects that shape the future of technology.

Throughout my academic career, I have engaged in various projects that showcase my technical skills and research-driven mindset. For instance, I developed an integrated approach to predict semiconductor wafer defects, achieving a significant boost in classification accuracy. My dedication to continuous learning is evident through my participation in hackathons and seminars, where I collaborate with peers to innovate and solve real-world challenges. I am eager to bring my technical expertise and enthusiasm for AI to a dynamic team focused on cutting-edge research and development.

Experience

Work history, roles, and key accomplishments

Bennett University logoBU
Current

B.Tech in Computer Science

Bennett University

Sep 2022 - Jan 2026 (3 years 4 months)

Pursuing a B.Tech in Computer Science with a specialization in Data Science, focusing on AI, big data, and predictive modeling. Engaged in various projects and research to enhance understanding of next-generation systems.

IR

Project: WebVid AI

Independent Research

Apr 2023 - May 2023 (1 month)

Developed an AI-powered tool for web page summarization and video generation using GPTScript, automating content extraction and synthesis.

IR

Project: WaferVision

Independent Research

Jan 2023 - Feb 2023 (1 month)

Developed an integrated approach to predict semiconductor wafer defects using symbolic regression and XGBoost, improving defect classification accuracy by 20%. Created a GUI for public access.

Education

Degrees, certifications, and relevant coursework

Bennett University logoBU

Bennett University

Bachelor of Technology, Computer Science and Engineering

2022 - 2026

Grade: 8.0/10.0

Pursuing a B.Tech in Computer Science and Engineering with a specialization in Data Science. Engaged in relevant coursework including Deep Learning, Advanced Computer Vision, and Big Data Analytics, while maintaining a CGPA of 8.0/10.0.

AS

Agarwal Public School

Higher Secondary Certificate, Science

2008 - 2022

Grade: 81%

Completed high school with a focus on Physics, Chemistry, Mathematics, and Informatics Practices, graduating with an overall percentage of 81%.

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