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Achievement: StarstruckAchievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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@bethgelab

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prakass1/README.md

Hi there 👋

Thank you for visiting my profile. I have been working with the technology over about 7 years and have expertise in multiple areas such as machine learning, data engineering and software engineering using python. I work on AWS and is familiar with building data pipelines and orchestration mechanisms suitable for either data analysis, or driving that for machine learning. I am improving my cloud capabilities, and like to apply them in cloud related architectures with DevOps, data engineering, and analytics domains.

🔭 Exploring and implementing data pipelines in AWS.

Meantime, I also do some contribution to help anyone. Below are some good references of my projects:

Data Engineering / Data Science in Python 🚀 :

  1. Crawler for google scholar to extract author information - https://github.com/bethgelab/google_scholar_crawler
  2. HPC monitoring application using Telegraf,Influx,Grafana (TIG) - https://github.com/bethgelab/slurm-monitoring-public
  3. Detect Traffic Signs - https://github.com/prakass1/detect-traffic-signs
  4. Detect Gestures (Also a dataset contribution) - https://github.com/prakass1/GestureRecognition
  5. Udacity Projects - AWS Data Engineering Nanodegree (Will be updated incrementally)
    -- EMR Computation: https://github.com/prakass1/aws-etl-emr
    -- Other Lessons: https://github.com/prakass1/DE-nano-degree
    -- Performing ETL using AWS: https://github.com/prakass1/sparkify-etl-aws
    -- ETL using cassandra: https://github.com/prakass1/udacity-sparkify-etl-cassandra
    -- ETL using python: https://github.com/prakass1/udacity-sparkify-etl.
    -- ETL orchestration with Airflow: https://github.com/prakass1/airflow-etl.
    -- The Final term project: https://github.com/prakass1/udacity-de-capstone.git
  6. My Master Thesis protoype tool for Medical Analytics - https://github.com/prakass1/InteractiveSimilarityExplorer
  7. Implementation of Rank Based Outlier Detection using kNN - https://github.com/prakass1/Rank_Based_Detection_Algorithm

Software Engineering in Python 🚀

  1. Flask-Restful template with an example of getting daily quotes - https://github.com/prakass1/Flask-Restful-Template
  2. A blogger application which can help to setup your own with already built-in components - https://github.com/prakass1/SimplisticBlogger
  3. Digit recognizer application - https://github.com/prakass1/digitrecognizer

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  1. SimplisticBlogger SimplisticBlogger Public

    Quickly setup a blog for yourself with help of some already built features.

    JavaScript 11 3

  2. bethgelab/slurm-monitoring-public bethgelab/slurm-monitoring-public Public

    Monitor your high performance infrastructure configured over slurm using TIG stack

    Python 20 7

  3. detect-traffic-signs detect-traffic-signs Public

    Recognizing Traffic signs from GTSRB dataset ||:red_circle:||:small_red_triangle:||:small_red_triangle_down:||

    Python 5 3

  4. InteractiveSimilarityExplorer InteractiveSimilarityExplorer Public

    The repository provides the implementation of the prototype medical informatics tool combining the ideas of neighborhood analysis, prediction and outlier detection

    JavaScript

  5. udacity-de-capstone udacity-de-capstone Public

    Udacity Capstone Project

    Jupyter Notebook

  6. Spark-The-Definitive-Guide-Course Spark-The-Definitive-Guide-Course Public

    Forked from databricks/Spark-The-Definitive-Guide

    Spark: The Definitive Guide's Code Repository

    Scala