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Satyajeet Parmar

Web Developer | Java and Python Developer | DSA Explorer | Machine Learning Enthusiast

Uttar Pradesh

< 1 year of work experience

National Institute of Technology , Patna
Jun 20253 mosAug 2025

Patna, Bihar, India

Analysis of Different CNN Models for Breast Cancer Image Classification Designed, implemented, and evaluated 7 CNN architectures (Simple CNN, VGG16, ResNet50, DenseNet, EfficientNet, GoogLeNet, ConvNeXt) for breast cancer classification using the BreakHis histopathological image dataset. Achieved up to 95% accuracy with ConvNeXt through transfer learning, advanced data augmentation, and hyperparameter tuning. Preprocessing: Applied normalization, resizing, and augmentation using NumPy and OpenCV to improve generalization. Tools & Frameworks: Python, TensorFlow, Keras, NumPy, OpenCV, Google Colab. Repository: https://github.com/satyajeetparmar0/image-classification-cnn.git Skills: Python · NumPy · TensorFlow · Keras · OpenCV · Machine Learning · Deep Learning · Transfer Learning

Satyajeet’s AI Stack

antigravity
antigravity
claude code
claude code
cursor
cursor
gemini
gemini
grok
grok
meta
meta

Education

Galgotias College of Engineering and Technology

Galgotias College of Engineering and Technology

20224 yrs2026

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Headline

Web Developer | Java and Python Developer | DSA Explorer | Machine Learning Enthusiast

About

Oh hey, didn’t see you there. 👀 I’m Satyajeet Parmar, your friendly neighborhood web developer (in training), turning coffee into code and bugs into... more creative bugs. Currently on a mission to build cool stuff on the web — from clean, responsive front-ends to back-ends that (hopefully) don’t crash under pressure. I spend my time experimenting with HTML, CSS, JavaScript, and whatever else the internet tells me I should learn next. 🚧 Work in progress? Always. 🚀 Eager to learn? Definitely. 💡 Looking for opportunities to grow, build real things, and maybe even get paid to do what I love? You bet. If you’re into building, learning, or debugging existential crises caused by missing semicolons — we’ll get along just fine. Let’s connect. I promise I won’t message you with a “Hi 👋” and nothing else (well... probably).

Location

Uttar Pradesh

AI stack

antigravity

claude code

cursor

gemini

grok

meta

Work experience

Machine Learning Intern at National Institute of Technology , Patna, Jun 2025 - Aug 2025 · 3 mos, Patna, Bihar, India, Analysis of Different CNN Models for Breast Cancer Image Classification Designed, implemented, and evaluated 7 CNN architectures (Simple CNN, VGG16, ResNet50, DenseNet, EfficientNet, GoogLeNet, ConvNeXt) for breast cancer classification using the BreakHis histopathological image dataset. Achieved up to 95% accuracy with ConvNeXt through transfer learning, advanced data augmentation, and hyperparameter tuning. Preprocessing: Applied normalization, resizing, and augmentation using NumPy and OpenCV to improve generalization. Tools & Frameworks: Python, TensorFlow, Keras, NumPy, OpenCV, Google Colab. Repository: https://github.com/satyajeetparmar0/image-classification-cnn.git Skills: Python · NumPy · TensorFlow · Keras · OpenCV · Machine Learning · Deep Learning · Transfer Learning

Education

Galgotias College of Engineering and Technology

Public links

github: https://github.com/satyajeetparmar0

Satyajeet Parmar - Machine Learning Intern in Uttar Pradesh | Tal