Machine learning based analytics and customer retention model for top EdTech unicorn
“We’d like to build a cutting edge data engineering and analytics platform to help build customer engagement and retention.”
Design & development of data aggregation and event processing architectures - Redshift, Kinesis, BigQuery.
ETL, database design and data pipelines - AWS Glue, Azure Data Factory.
Machine learning toolkit deployment and configuration - AWS SageMaker, Tensorflow etc.
Analytics & reporting tools- AWS Athena & QuickSight, Azure Insights.
We undertook a 8 weeks deep dive to exercise to understand the client’s analytics needs, data landscape and gaps.
Assemble tool chain
We built a layered roadmap that helped the client address their data sourcing, mapping and aggregation steps first followed by a real-time analytics & reporting dashboard.
A team of 4 data engineers and analysts was deployed to build the solution from the ground up using AWS Glue, Athena, AWS Lambda, & API Gateway.