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Data Engineering Project to Build an ETL pipeline using technologies like dbt, Snowflake, and Airflow, ensuring seamless data extraction, transformation, and loading, with efficient monitoring through Slack and email notifications via SNS
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ETL Orchestration on AWS - Use AWS Glue and Step Functions to fetch source data and glean faster analytical insights on Amazon Redshift Cluster
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Build a fully working scalable, reliable and secure AWS EMR complex data pipeline from scratch that provides support for all data stages from data collection to data analysis and visualization.
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138 Projects
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To build a predictive model for churn in the Telecom industry with a feedback loop to help maintain the quality of results
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Regression project to implement logistic regression in python from scratch on streaming app data.
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In this Classification Machine Learning Project, you will build a multi-level classification model to predict churn category and reason in the telecom industry, enabling proactive measures to reduce customer churn and enhance retention.
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