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Rahul varma

@rahulvarma

Entry-level computer applications graduate specializing in data analysis and AI projects.

India
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What I'm looking for

I am seeking an entry-level role in data analysis or AI where I can apply my academic training, work on model development, and grow within a collaborative team.

I am an entry-level computer applications graduate with a solid foundation in data analysis, data visualization, and programming. I combine academic training with hands-on projects in AI and face recognition to solve real-world problems.

I have implemented Probabilistic Neural Networks (PNNs) and worked with Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNNs) for feature extraction in face recognition projects. My projects emphasize model optimization, feature extraction, and data processing.

During an AI internship, I focused on classification tasks, probabilistic outputs, and refining models through iterative data processing. I am proactive, quick-learning, and committed to contributing to team success while growing technical expertise.

I seek opportunities where I can apply my knowledge of Python, Java, C/C++, DBMS, and web technologies while continuing to learn and contribute to impactful AI and data-driven projects.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

RC

RG Kedia College of Commerce

Postgraduate, Data Science / Computer Applications

2024 -

Postgraduate studies focused on data analysis, data visualization and data science with emphasis on practical Microsoft and programming skills.

UC

Ushodhaya Junior College

Intermediate, Intermediate

2019 - 2024

Intermediate-level studies completed at junior college prior to undergraduate education.

US

University College of Sciences

Undergraduate, Computer Applications / Sciences

2021 - 2024

Undergraduate program completed with focus on computer applications, programming (Python, Java, C/C++), HTML and DBMS.

Tech stack

Software and tools used professionally

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