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Anand ChaubeyAC
Open to opportunities

Anand Chaubey

@anandchaubey

Computer Science student specializing in AI/ML, web and cloud technologies.

India
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What I'm looking for

I seek entry-level roles applying AI/ML and cloud/web technologies where I can grow technically, work on impactful projects, and collaborate within a data-driven, learning-oriented team.

I am a motivated Computer Science Engineering student focused on applying AI/ML, cloud computing and web technologies to solve real-world problems. I combine strong technical fundamentals with practical experience in data science, SEO and digital analytics to deliver efficient, data-backed solutions.

During an internship, I reinforced Core Java concepts, OOP principles and Java framework usage, and built a desktop Connect4 game to apply those skills. I have led projects that demonstrate end-to-end machine learning capabilities including data preprocessing, feature engineering and model evaluation.

My notable project work includes a Skin Disease Detection System using convolutional neural networks where I improved classification performance through hyperparameter tuning, achieving high accuracy. I also implemented a cross-language text steganography system that addresses secure communication, censorship circumvention and linguistic watermarking.

I work comfortably with Python, Java, SQL and web technologies and use tools such as VS Code, Jupyter Notebook and Amazon EC2. I am eager to contribute to teams building practical AI/ML and web/cloud solutions in fast-paced environments.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

NT

Noida Institute of Engineering & Technology

Master of Integrated Technology, Computer Science

2021 -

Grade: CGPA: 8.5

Pursuing a Master of Integrated Technology in Computer Science with a current CGPA of 8.5, focusing on AI/ML, cloud computing, and web technologies.

LM

Lions School, Mirzapur

Intermediate, Intermediate

2019 - 2021

Grade: 86.7%

Completed Intermediate studies with a percentage score of 86.7%.

Tech stack

Software and tools used professionally

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