Thank you for visiting my profile. I have been working with the technology over several 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.
π Exploring and implementing data pipelines in AWS.
Meantime, I also do some contribution to help anyone. Below are some good references of my projects:
- Crawler for google scholar to extract author information - https://github.com/bethgelab/google_scholar_crawler?target=https://github.com
- HPC monitoring application using Telegraf,Influx,Grafana (TIG) - https://github.com/bethgelab/slurm-monitoring-public?target=https://github.com
- Detect Traffic Signs - https://github.com/prakass1/detect-traffic-signs?target=https://github.com
- Detect Gestures (Also a dataset contribution) - https://github.com/prakass1/GestureRecognition?target=https://github.com
- Udacity Projects - AWS Data Engineering Nanodegree (Will be updated incrementally)
-- EMR Computation: https://github.com/prakass1/aws-etl-emr?target=https://github.com
-- Other Lessons: https://github.com/prakass1/DE-nano-degree?target=https://github.com
-- Performing ETL using AWS: https://github.com/prakass1/sparkify-etl-aws?target=https://github.com
-- ETL using cassandra: https://github.com/prakass1/udacity-sparkify-etl-cassandra?target=https://github.com
-- ETL using python: https://github.com/prakass1/udacity-sparkify-etl?target=https://github.com.
-- ETL orchestration with Airflow: https://github.com/prakass1/airflow-etl?target=https://github.com.
-- The Final term project: https://github.com/prakass1/udacity-de-capstone.git - My Master Thesis protoype tool for Medical Analytics - https://github.com/prakass1/InteractiveSimilarityExplorer?target=https://github.com
- Implementation of Rank Based Outlier Detection using kNN - https://github.com/prakass1/Rank_Based_Detection_Algorithm?target=https://github.com
- Flask-Restful template with an example of getting daily quotes - https://github.com/prakass1/Flask-Restful-Template?target=https://github.com
- A blogger application which can help to setup your own with already built-in components - https://github.com/prakass1/SimplisticBlogger?target=https://github.com
- Digit recognizer application - https://github.com/prakass1/digitrecognizer?target=https://github.com




