projects

AcmeAi User Churn Predictor

Description:

Developed an advanced user churn predictor system at Acme that uses deep learning models to anticipate user drop-offs before they occur. The system has improved user retention rates by 25%, leading to significant boosts in revenue and user satisfaction. This tool integrates historical user activity data with recent behavioral shifts to generate accurate predictions.

Tech Stack:

Python
TensorFlow
SQL
AWS S3
AWS Lambda
AWS RDS
Redshift
Looker

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