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In search for the greater cosmos of things
:electron:
In search for the greater cosmos of things

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ss-is-master-chief/README.md

Hey there 👋🏽 I'm Sumit

LinkedIn

I am a data scientist and occasional blogger who loves to build intelligent systems that solve real world problems.

  • 💬 Ask me about: Data Science, Machine Learning, Deep Learning, Artificial Intelligence, and Software Development
  • 🧑🏽‍💻 Work Experience:
    • Data Scientist - II @ SquadStack (Apr 2023 - Present)
    • Data Scientist - I @ SquadStack (Jul 2020 - Apr 2023)
    • Data Science Intern @ SquadStack (Dec 2019 - Jun 2020)
    • Cybersecurity Intern @ PwC India (May 2019 - Jul 2019)
  • 🧑🏾‍🎓 Education: B.Tech Computer Science and Engineering @ Vellore Institute of Technology, Chennai (2016 - 2020)
  • 😄 Pronouns: he/him/his

Some of the tools and tech I love working with ❤️

Python R Julia TensorFlow Pandas NumPy OpenCV PostgreSQL ShellScript Git AWS

Pinned

  1. TrueSight TrueSight Public

    A framework that provides assistance to the visually impaired in a world of complex ambient activities and interactions

    Python 1

  2. diabetic.retinopathy__deep.learning diabetic.retinopathy__deep.learning Public

    Detection of fundus in eyeball images for early detection of Diabetic Retinopathy using Deep Learning and classifying them into Not Present, Mild, Moderate, or Acute.

    Python 4 2

  3. blogs blogs Public

    Links to blog posts that I have written on AI and software engineering.

    1

  4. MNIST-Digit.Synthesis-GANs MNIST-Digit.Synthesis-GANs Public

    Exploring Generative Adversarial Networks (GANs) using MNIST Hand Written Digit dataset with Keras and TensorFlow

    Jupyter Notebook 1 1

  5. Baryonic.Assymetry-LHCb.Collision-pySpark Baryonic.Assymetry-LHCb.Collision-pySpark Public

    Measuring Baryonic Asymmetries (CP Violation) using LHCb Collision data with pySpark

    Jupyter Notebook 1

  6. MNIST-Digit.Recognizer-CNNs MNIST-Digit.Recognizer-CNNs Public

    Implementation of CNN to recognize hand written digits (MNIST) running for 10 epochs. Accuracy: 98.99%

    Jupyter Notebook 120 73