AI & Machine Learning

Big Data

Cloud Architecture





AWS, Python, Cloud, Big data

Business gains

Reduced AWS computing resources by 80%

Customer -

The Customer is a Texas-based telecom company participating in the federal Lifeline Support Program and providing pre-paid cell phones and service packages to low-income individuals.

Challenge -

As a part of the project, ATH’s analytics team was to design and implement data management and analytics platform to let the Customer collect the data from multiple sources and get insights into customer behavior. The Customer wanted the platform to analyze historical data and enable forecasting. Access rights were another issue to solve, as the Customer planned to provide their tenants with the access to the tenant-related analytics.

Results -

Measure the engagement and identify the preferences of a particular user.

Spot trends in the users’ behavior.

Make predictions about how users would behave.

Invoice advertisers based on their calculated share.

Benefit from insightful data analytics (for example, daily earnings, number of new users, customer service data and more).

The use of Amazon Spot Instances allowed the Customer to reduce the costs of AWS computing resources by 80%.

Technologies and Tools -

Amazon Web Services (Amazon cloud), Apache Kafka (data streaming), the Message Queuing Telemetry Transport Protocol, Amazon Simple Storage Service (persistent storage used for data landing zone), Amazon Redshift (data warehouse), Airbnb Airflow and Python (ETL).

Let's Talk

We provide a dedicated team of highly qualified developers and a quality assurance specialist, a project manager, and a selection of in-house experts to assist. The onboarding process is completed through a simple, straightforward, and transparent hiring process