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AI / ML
Recommendations & Fraud Detection
Personalised recommendations on AWS Personalize and fraud prevention with AWS Fraud Detector.
- Role
- Fullstack Developer / Data Analyst
- Employer
- Grocer Apps
- When
- 2020–22
- Platforms
- Web · Mobile
+18%engagement and average order value
100K+potential fraud prevented per year
99.9%data integrity with Redis atomic locks
Overview
Grocer Apps is an online grocery platform in Lahore. I built its recommendation system on AWS Personalize, which raised user engagement and average order value by 18%.
I also deployed AWS Fraud Detector to stop fraudulent transactions, and used ElastiCache Redis atomic locks to remove duplicate records.
Tech stack
- AWS Personalize
- AWS Fraud Detector
- ElastiCache
- Redis
- Laravel
- MySQL