Fintech Platform Delivery Program - Archana M
Production ML System for E-Commerce
Fraud Detection
Client Industry: FinTech
My Role: Program Manager – Cloud Migration
Duration: 6 months
Team Size: 12
Scale: Processing 100K+ transactions daily
The Challenge:
Replace manual fraud review process with automated ML-based detection system while:
● Maintaining high accuracy (>85% target)
● Reducing false positives
● Establishing MLOps governance
● Integrating compliance automation
● Processing real-time transactions (<50ms latency)
My Approach
1. ML Productionization:
a. Managed end-to-end pipeline: training → validation → deployment
b. Built feature engineering workflows using Python/Scikit-learn
c. Scheduled automated training via Airflow
d. Coordinated data scientists, ML engineers, and platform teams
2. MLOps Governance:
a. Established model versioning standards
b. Implemented automated retraining triggers
c. Set up drift detection monitoring
d. Created rollback procedures for model deployments
3. Compliance Integration:
a. Integrated UiPath for compliance automation
b. Reduced manual audit overhead
c. Established audit trails for model decisions
Results Delivered:
1. Accuracy Achievement: >85% in production (exceeded target)
2. False Positive Reduction: 28% decrease
3. Manual Review Reduction: Cut by 40%
4. Audit Cost Savings: 30% reduction in audit cycle costs
5. Performance: <50ms latency for real-time scoring
6. Scale: Successfully processing 100K+ transactions daily
Technical Stack:
Cloud Platform: AWS
ML Tools
Automation
1. S3 (Data Storage)
1. Python
1. UiPath (Compliance
automation)
2. Sagemaker (Model
Training)
2. Scikit-Learn
2. Git (version control)
3. Lambda (Inference)
3. TensorFlow
4. AirFlow
(Orchestration)
Key Skills Demonstrated:
AI/ML Program Management
MLOps Governance
AWS Cloud Services
Data Engineering Coordination
Compliance Automation
Technical Project Management
Cross-Functional Team Leadership
Contact: Available for AI/ML productionization and data programs
Rate: $85/hour
Availability: Immediate start