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residual-network's Introduction

Hi, I'm Prasad! ๐Ÿ‘‹

๐Ÿ’ป Deep Learning Enthusiast and Computer Vision Researcher

Linkedin: Prasad Sankar GitHub: @Prasad-178 Gmail: Prasad

I am a Machine Learning practitioner from ๐Ÿ  Bangalore, India. I am currently engaged in research in 3D Object Recognition using Deep Learning.

My passion lies in solving challenging problems and developing efficient solutions. I always look to exceed expectations and am effective both working as an individual and as part of a team.

In my spare time, I like to listen to music ๐ŸŽง, watch anime ๐Ÿ’ป: and play video games ๐ŸŽฎ:.

I enjoy Data Science, Machine Learning, DSA and Development. If you ever want to bounce ideas off of me, please feel free to reach out. ๐Ÿ˜„

โšก Stats

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๐ŸŽ‰ Skills ๐ŸŽ‰

  • Data Science: Statistics, Data Analysis, Data Visualization, Data Preparation
  • Machine Learning: Regression, Ensemble Algorithms, Clustering, SVM, PCA
  • Deep Learning: CNNs, Object Detection, LSTMs, Transformers, Point Clouds
  • DS/ML Tools: Numpy, Pandas, Matplotlib, Seaborn, sklearn, Tensorflow, Keras, Excel, SQL
  • FrontEnd: React.js, Redux, React Native, Vite
  • BackEnd: Node.js, Express, GraphQL, Flask
  • FullStack: Next.js
  • Cloud Technology: AWS services - Sagemaker, API Gateway, Lambda, Cloudwatch
  • UI Frameworks: Material-UI, Bootstrap, TailwindCSS
  • Databases: MongoDB, SQL
  • Misc: Git, Data Structures and Algorithms
  • Languages: C, C++, Python, Java, JavaScript, TypeScript

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