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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:

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

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