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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