This project involves designing an architecture for establishing data flow from client multitenant databases (oracle 18c) to stage on Google Data Store for OLAP on BigQuery.

· Automated creation of data proc cluster for data processing.

· Writing data pipeline for consuming the data from source.

· Transforming and Filtering the data as per requirements.

· Loading the data in Datawarehouse.

AQU is real time sense cloud-based solution facilitates water quality measurement right at the pond. It provides an array of parameter to let you know present and future water quality of pond.

Responsibility-.

· Established ETL, Data streaming using Amazon services like- Amazon Lambda (NodeJs , JAVA), Aurora, kinesis, S3, Redshift, DynamoDB.

· Building Predictive Model for Predicting derived water quality parameters vetted against historical data using Python Scikit,Neural network and Regression.

This project involves designing an architecture for establishing data flow from client multitenant databases (oracle 18c) to stage on Google Data Store for OLAP on BigQuery. Automated creation of data proc cluster for data processing. Writing data pipeline for consuming the data from source. Transforming and Filtering the data as per requirements. Loading the data in Datawarehouse.

AQU is real time sense cloud-based solution facilitates water quality measurement right at the pond. It provides an array of parameter to let you know present and future water quality of pond.

This project is mainly used to classification bank related complaints. We classified bank related complaints severity. We crawled data from web using R from public customer reviews websites.

Implemented RFM analysis on credit card transaction data to segment customers profile for facilitating target marketing.