diwas524/blood-cancer-detection-cnn

The purpose of our project is to develop a system that can automatically detect cancer from the blood cell images. This system uses a convolution network that inputs a blood cell images and outputs whether the cell is infected with cancer or not.

Hey 👋🏽, I'm Diwas Pandey!

I am Diwas Pandey, an aspiring graduate with an M.S. in Computer Science from Washington State University (current GPA: 4.00). My academic journey has equipped me with comprehensive knowledge in Artificial Intelligence, Machine Learning, Neural Networks, and Computer Vision. I hold a B.E. in Computer Engineering from Tribhuvan University, Nepal, and bring practical experience from projects like real-time number plate recognition and bio-marker analysis from ECG data.

Eager to launch my career, I am actively seeking entry-level roles in Machine Learning. My research endeavors and hands-on projects have honed my skills in Python, C++, Scikit-learn, OpenCV, PyTorch, and AWS. As a Team Lead and Machine Learning Engineer II, I successfully led projects at Bottle Technology, Pvt. Ltd., enhancing Nepali Citizenship data and implementing a Smart Advertisement system. My entrepreneurial spirit is reflected in founding aihubprojects.com, where I authored a book, published articles, and collaborated with renowned institutions. I am excited about contributing my skills to a dynamic team and making a meaningful impact in the field of Machine Learning.

• ⚡ Pursuing a Master's in Computer Science at Washington State University
• 📫 Former team lead & Machine Learning Engineer at Bottle Technology
• 🔭 Admin, Content writer on aihubprojects.com
• 🌱 Published Kindle eBook on Python

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