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DebanshuCS/README.md

Hi πŸ‘‹, I'm Debanshu Das

A passionate CS Graduate Seeking Opportunities to Drive Insights and Innovate Solutions.

debanshucs

  • 🌱 "I'm currently learning about deep learning and neural networks." Interested in studying advanced techniques for building and training neural networks, including topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).

  • πŸ‘― I’m looking to collaborate on a project that involves leveraging big data technologies to process and analyze large-scale datasets.

  • 🀝 I’m looking for help with deploying Artificial intelligence models in production

  • πŸ‘¨β€πŸ’» Check my Portfolio at Debanshu.me

  • πŸ’¬ Ask me about Machine learning algorithms and their applications.

  • πŸ“« How to reach me talkto.debanshu@gmail.com

  • πŸ“„ Know about my experiences MyResume

  • ⚑ Fun fact Did you know that the term "data science" was first coined in 2001 by William S. Cleveland, a prominent statistician? He used the term to describe the interdisciplinary field that combines statistics, mathematics, computer science, and domain knowledge to extract insights and knowledge from data. Since then, data science has evolved rapidly and become an integral part of various industries, revolutionizing how we make decisions and solve complex problems using data-driven approaches.

Connect with me:

https://www.linkedin.com/in/debanshu-das-b67390187/ _debecs_ https://www.hackerrank.com/devns2001?hr_r=1

Languages and Tools:

android aws azure babel bash bootstrap c chartjs cockroachdb cplusplus css3 d3js dart django docker dotnet express figma firebase flask flutter git go hadoop heroku java javascript linux materialize matlab mongodb mysql nextjs nginx nodejs opencv oracle pandas photoshop php postgresql postman python pytorch react reactnative scikit_learn seaborn selenium spring sqlite tailwind tensorflow typescript unity unreal

debanshucs

Β debanshucs

debanshucs

Pinned

  1. Portfolio_Website- Portfolio_Website- Public

    This is my personal portfolio website built using Next.js. It showcases information about me, my career timeline, and my knowledge and field of interest. The portfolio, is designed to provide an ov…

    JavaScript

  2. Deep-Learning-Backpropagation Deep-Learning-Backpropagation Public

    Backpropagation is a widely used algorithm for training feedforward neural networks. It computes the gradient of the loss function with respect to the network weights. It is very efficient, rather …

    Jupyter Notebook

  3. NLP_Regular-expressions-and-language-modelling NLP_Regular-expressions-and-language-modelling Public

    Regular Expressions are useful for numerous tasks that a data scientist encounters. It is one of the key concepts of Natural Language Processing. And, Language models analyze bodies of text data to…

    Jupyter Notebook

  4. Epidemic-Modelling Epidemic-Modelling Public

    Epidemic models based on ordinary differential equations (ODEs), which effectively describe dynamic systems in many fields, have been employed. However, a single epidemic model is not enough to cap…

    Jupyter Notebook

  5. Deep-Learning_RCNN Deep-Learning_RCNN Public

    We tested the dataset using two popular object detection algorithms, YOLOv7 and Faster R-CNN. My first finding indicate that the used dataset has the potential to be an important data source and be…

    Jupyter Notebook

  6. Thesis-Rumor-detection-using-Deep-learning-techniques.- Thesis-Rumor-detection-using-Deep-learning-techniques.- Public

    This project illustrates pure deep learning techniques and applied to small real-world dataset. Primarily, We have used CNN and LSTM network on the respective datasets to detect rumors.

    Jupyter Notebook 2