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Prathyum/README.md

Hey there, I'm Prathyum Ramesh 👋

Website Twitter Follow

I like to think of myself as an Amateur Chef, a struggling Martial Artist and a Tech Monk.

  • 🌱 As a fresh computer science master's graduate, I'm ready to take on the tech world by storm (or at least put up a good fight).
  • 👯 When I'm not busy debugging code or trying to understand why my computer won't do what I tell it to, you can find me trying (and failing) to be funny on social media or binge-watching the latest Netflix craze.
  • 🤔 My ultimate goal is to make it big in tech and be able to afford a second monitor (because one just isn't enough).
  • 🥅 Follow my journey as I navigate the world of software development, data analysis, and all things tech-related.
  • ⚡ Just don't expect too much seriousness along the way.

Connect with me:

My site Prathyum_ | Twitter Prathyum | LinkedIn Prathyum | Instagram



Prathyum's github stats

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  1. DE_ND-Spark DE_ND-Spark Public

    An ETL pipeline built on a Data Lake that loads data from Amazon S3, processes data with PySpark and stores them back to Amazon S3

    Python

  2. DE_ND-RedShift DE_ND-RedShift Public

    A ETL pipeline that extracts data from Amazon S3, stages them in Amazon RedShift and transforms the data into a set of dimensional tables.

    Python

  3. DE_ND-techtrends DE_ND-techtrends Public

    A python flask web app deployment with Kubernetes and CI/CD automation.

    Python

  4. DE_ND-Udaconnect DE_ND-Udaconnect Public

    An app that helps attendees make connections - building the infrastructure for a service that can inform attendees if they have attended the same booths and presentations at an event.

    Python

  5. Breast-Cancer-Detection Breast-Cancer-Detection Public

    Practical application of the logistic regression model on a real-world dataset to predict whether a tumor is benign (not breast cancer) or malignant (breast cancer) based off its characteristics.

    Jupyter Notebook

  6. Heart-Disease-prediction Heart-Disease-prediction Public

    A basic machine learning project on predicting whether patients have heart disease or not given a well-defined data set of their conditions.

    Jupyter Notebook