Staff Augmentation – Reducing Fraud Through Data Modeling


One of the world’s biggest audio equipment manufacturers needed a data science platform that would allow it to commission connected products. The scientists should be able to use the platform internally to automate data science and increase productivity.


TeraCode developed a cloud-based, data modeling engine that gave its client the tools for monitoring device usage and added the functionality of mining data for future product ideas.


GoLang, React.js, Databricks, Snowflake, DBT, AWS StepFunctions, AWS Glue, Python, PySpark.


The company uses this data modeling platform for a multitude of connected products, which has exponentially reduced fraud. TeraCode continues to deploy new features for this client to this day.

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